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Genetic and Evolutionary Computation Conference (GECCO-2003)

CONFERENCE PROGRAM

Genetic and Evolutionary Computation Conference

July 12 – 16, 2003

Holiday Inn Mart Plaza

Chicago, Illinois, USA

A Recombination of the Eighth Annual Genetic Programming Conference and the Twelfth International Conference on Genetic Algorithms

International Society for Genetic and Evolutionary Computation, Inc.

In Association with the American Association for Artificial Intelligence

Table of Contents

GECCO Organizers 3

Program Committee 4

Best Paper Awards 5

About the Evolutionary Computation in Industry Track 6

Saturday Workshops Schedule 7

Sunday Tutorials Schedule 9

Monday Sessions Schedule 11

Tuesday Sessions Schedule 17

Wednesday Sessions Schedule 23

Registration Times

Sunday – Tuesday, July 13-15: 7:30 – 17:00, Wednesday, July 16: 7:30 – 12:00

The registration will take place in the foyer on the 14th Floor. The staff at the registration desk will happily answer any questions you may have about the conference.

Exhibits

Visit exciting exhibits from these and other vendors.

  • Kluwer Academic Publishers

  • Springer Verlag

  • Sun Microsystems

  • EvoNet

  • Applied AI Systems, Inc.

All exhibits will be located in the foyer on the 14th Floor. Exhibition times are 13:00 – 17:30 on Saturday, July 12; 8:30 – 17:30 Sunday through Tuesday, July 13-15; and from 8:30 – 13:30 on Wednesday, July 16 (or as posted in the foyer on the 14th Floor).

Instructions for Presenters and Session Chairs:

Talks in the regular technical sessions, Monday through Wednesday, are scheduled for 30 minutes. This includes 20 minutes of presentation and 10 minutes of questions. Late Breaking Paper (LBP) talks should take no more than 10 minutes total (7 minutes of presentation with 3 minutes of questions). Set-up of necessary presentation equipment should be calculated into the allotted presentation time.

The duties of session chairs are: Keep the session on schedule, introduce speakers, and moderate the question portion. Session chairs should arrive a few minutes early to check on room and equipment set-up. Please let conference organizers know immediately if problems arise or adjustments are needed. Please adhere to the scheduled order of talks as well as presentation times. If a speaker is absent, we ask you to announce a short break until the next presentation is due to start. Do not start early, as participants may be moving between sessions/presentations. Out of consideration for other speakers and all participants, please stay on schedule. If a session is without a chair, we ask the last scheduled speaker to perform those duties.

Special Note: Monday, GA Theory 1 and RWA Learning will be from 10:00 – 11:10, and GA Theory 2 and RWA Vision & Learning will be from 13:45 – 14:30 in the Sauganash Ballroom. Theses changes allow organizers set-up time for the Kluwer No Free Lunch lunch.

GECCO-2003 Organizers

International Society for Genetic and Evolutionary Computation, Inc.

In association with the American Association for Artificial Intelligence (AAAI), 445 Burgess Drive, Menlo Park, CA 94025

Conference Chair: James A. Foster

Proceedings Editor-in-chief: Erick Cantú-Paz

Business committee: David E. Goldberg and John Koza

Workshops chair: Alwyn Barry

Graduate Student Workshop: Maarten Keijzer, Sean Luke, Terry Riopka

ISGEC Bylaws establish Program Policy Committees drawn from EC editors and book authors in six areas: Genetic Algorithms, Genetic Programming, Evolution Strategies and Evolutionary Programming, Learning Classifier Systems, Evolvable Hardware, and Real World Applications. Chairs of these committees are also chairs of corresponding GECCO tracks. Additional tracks are operated by Special Program Committees, chaired by the track chair.

Program and Policy Committee Chairs

Genetic Algorithms

Kalyanmoy Deb (chair), David Coley, Rolf Drechsler, David E. Goldberg, John Holland, Sam Kwong, Zbigniew Michalewicz, Frederick Petry, Wallace Tang, Michael Vose

Genetic Programming

Una-May O’Reilly (chair), David Andre, Vladan Babovic, Wolfgang Banzhaf, James A. Foster, Hitoshi Iba, Christian Jacob, Robert E. Keller, John Koza, Riccardo Poli, Man Leung Wong

Real-World Applications

David Davis & Rajkumar Roy (chairs), Peter Bentley, Lance Chambers, Dipankar Dasgupta, Francisco Herrera, Witold Pedrycz, Elisabeth Rudnick, Jose Luis Verdegay

Artifical Immune Systems

Dipankar Dasgupta

Evolution Strategies and Evolutionary Programming

Hans-Georg Beyer (chair), Palmen Angelov, Günter Rudolph

Search Based Software Engineering

Mark Harman & Joachim Wegner

A-Life, Adaptive Behavior, Agents, and Ant Colony Optimization

Russell Standish (chair)

Learning Classifier Systems

Stewart Wilson (chair), Larry Bull

DNA, Molecular, and Quantum Computing

Natasha Jonoska (chair)

Evolvable Hardware

Julian Miller (chair), Moshe Sipper, Adrian Thompson

Evolutionary Robotics

Mitchell A. Potter & Alan C. Schultz (chairs)

Evolutionary Scheduling and Routing

Kathryn A. Downsland (chair)

Coevolution

Graham Kendall

Late Breaking Papers Chair: Bart Rylander

Student Housing Representative: Ashley Morris

Administrative Assistance: Carol Hamilton, Elizabeth Ericson, Ann Stolberg

Support for Student Travel Donated by:

Air Force Office of Scientific Research Philips Research

Navy Center for Applied Research in Artificial Intelligence Sun Microsystems

National Science Foundation New Light Industries

DaimlerChrysler

Program Committee

Hussein A. Abbass

Adam Adampoulos

Jesu’s Aguilar

Hernan Aguirre

Uwe Aickelin

Dirk Arnold

Tughrul Arsian

Atif Azad

Vladan Babovic

Thomas Bäck

Alwyn Barry

Cem Baydar

Thomas Beielsein

Fevzi Belli

Theodore Belding

Tom Bersano-Begey

Hugues Bersini

Andrea Bonarini

Lashon B. Booker

Leonardo Botacci

Klaus Bothe

Wilker Shane Bruce

Peter Brucker

Anthony Bucci

Dirk Bueche

Larry Bull

Edmund K. Burke

Martin V. Butz

Xiaoqiang Cai

Shu-Heng Chen

Prabhas Chongstitvatana

John Clark

Claude Lattaud

Pierre Collet

Jose’ Cristo’bal Riquelme Santos

Peter Cowling

Keshav Dahal

Paul Darwen

Dipankar Dasgupta

Lawrence Davis

Ivanoe De Falco

Anthony Deakin

Phillip W. Dixon

Marco Dorigo

Keith L. Downing

Stefan Droste

Marc Ebner

Tim Edwards

Aniko Ekart

Matthew Evett

Robert Feldt

Francisco Fernández

Sevan Ficci

Filipic Bogdan

Peter John Fleming

Stuart Flockton

Stephanie Forrest

Alex Freitas

Clemens Frey

Chunsheng Fu

Christian Gagné

M. L. Gargano

Hugo de Garis

Josep Maria Garrell I Guiu

Michel Gendreau

Pierre Gérard

Andreas Geyer-Schulz

Jens Gottlieb

Buster Greene

Steven Gustafson

Pauline Haddow

Emma Hart

William E. Hart

Francisco Herrera

Jeffrey W. Herrmann

Rob Hierons

John H. Holmes

Daniel Howard

William Hsu

Jianjun Hu

Jacob Hurst

Hitoshi Iba

Christian Jacob

Segovia Javier

Joes’ Javier Dolado Cosi’n

Bryan Jones

Hugues Juillé

Mahmoud (Mak) Kaboudan

Charles Karr

Maarten Keijzer

Graham Kendall

Didier Keymeulen

Gabriella Kókai

Bogdan Korel

Erkan Korkmaz

Tim Kovacs

Natalio Krasnogor

K. KrishnaKumar

Renato A. Krohling

Gary B. Lamont

Pier Luca Lanzi

Jesper Larsen

Marco Laumanns

Paul Layzell

Claude Le Pape

Martin Lefley

Derek Linden

Michael L. Littman

Xavier Llorá

Jason Lohn

Michael Lones

Sushil J. Louis

Jose A. Lozano

Nicholas Macias

Spiros Mancoridis

Ester Bernadó Mansilla

Martin Martin

Pete Martin

Iwata Masaya

Keith Mathias

Dirk Christian Mattfeld

David Mayer

Bob McKay

Nic McPhee

Karlheinz Meier

Zbigniew Michalewicz

Martin Middendorf

Risto Miikkulainen

Brian Mitchell

Frank Moore

David Montana

J. Manuel Moreno

Kazuyuki Murase

Bill Mydlowec

Olfa Nasraoui

Mark Neal

Chrystopher Nehaniv

Miguel Nicolau

Fernando L. Nino

Nikolay Nikolaev

Jason Noble

Peter Nordin

Bryan A. Norman

Wim Nuijten

Leandro Nunes de Castro

Michael O’Neill

Witold Pedrycz

Sanja Petrovic

Marek Perkowski

Hartmut Pohlheim

Riccardo Poli

Marie-Claude Portmann

Reid Porter

Jeans-Yves Potvin

Alexander Pretschener

Tom Ray

Victor John Rayward-Smith

Kazuhiro Saitou

Ralf Salomon

Kisung Seo

Alaa Sheta

Robert Shipman

Terence Soule

Lee Spector

Russell Standish

Matthew Streeter

Rick L. Riolo

Katya Rodriguez-Vazquez

Marc Roper

Brian Ross

Peter Ross

Jon Rowe

Rajkumar Roy

Guenter Rudolph

Thomas Philip Runarsson

Conor Ryan

Kwong Sak Leung

Yuji Sato

Marc Schoenauer

Thorsten Schnier

Sonia Schulenburg

Mans-Paul Schwefel

Bernhard Sendhoff

Martin Shepperd

Olivier Sigaud

Mark C. Sinclair

Andre Skusa

Robert E. Smith

Donald Sofge

Javier Alcaraz Soria

Andreas Spillner

Harmen Sthamer

Adrian Stoica

Wolfgang Stolzmann

Walker Tackett

Keiki Takadama

Uwe Tangen

Alexander Tarakanov

Gianluca Tempesti

Sam R. Thangiah

Scott Thayer

Adrian Thompson

Jonathan M. Thompson

Jon Timmis

Ashutosh Tiwari

Marco Tomassini

Jim Torresen

Paolo Toth

Michael Trick

Andy Tyrrell

Jano van Hemert

Leonardo Vanneschi

Róbert Ványi

Oswaldo Velez-Langs

Hans-Michael Voigt

Jean-Paul Watson

Karsten Weicker

Peter Whigham

Lyndon While

Paul Wiegand

Dirk Wiesmann

Janet Wiles

Zheng Y. Wu

Chia-Hsuan Yeh

Tina Yu

Hongnian Yu

Ricardo Zebulum

Andreas Zell

Byoung-Tak Zhang

Enrique Alba

Chang Wook Ahn

Julio Banga

Francisco Baptista Pereira

José Aguilar

Meghna Babbar

Hans-Georg Beyer

Bv Babu

Fevzi Belli

Peter Bosman

Terry Bossomaier

Jürgen Branke

Magdalena Bugajska

Stefano Cagnoni

Erick Cantú-Paz

Uday Chakraborty

Weng-Tat Chan

Alastair Channon

Ying-Ping Chen

Junghuei Chen

Manuel Clergue

Carlos Coello Coello

David Coley

Philippe Collard

Clare Bates Congdon

David Corne

Ernesto Costa

Bart Craenen

Kalyanmoy Deb

Brahma Deo

Antonio Della Cioppa

A Santos Del Riego

Dirk Devogelaere

Der-Rong Din

Kathryn Dowsland

Gerry Dozier

Rolf Drechsler

Norberto Eiji Nawa

Christos Emmanouilidis

Hector Erives

Felipe Espinoza

Dario Floreano

Cyril Fonlupt

Carlos Fonseca

Ivan Garibay

Alessio Gaspar

Zhou Gengui

Tushar Goel

Fabio González

Kendall Graham

John Grefenstette

Darko Grundler

Dongbing Gu

Charles Guthrie

Hani Hagras

Hisashi Handa

Georges Harik

Mark Harman

Inman Harvey

Michael Herdy

Jürgen Hesser

Mika Hirvensalo

Tadashi Horiuchi

Kosuke Imamura

Iñaki Inza

Thomas Jansen

Yaochu Jin

Natasha Jonoska

Bryant Julstrom

Balakrishnan Karthik

Sanza Kazadi

Michael Kirley

Joshua Knowles

Arthur Kordon

Sam Kwong

William Langdon

Pedro Larrañaga

Warren Liao

Fernando Lobo

Manuel Lozano

Jose Antonio Lozano

Sean Luke

John Lusth

Evelyne Lutton

Ana Madureira

Arita Masanori

Giancarlo Mauri

Jon McCormack

Lisa Meeden

Jörn Mehnen

Ole Mengshoel

Mark Meysenburg

Julian Miller

Chilukuri Mohan

Byung-Ro Moon

Alberto Moraglio

Yunjun Mu

Sibylle Mueller

Masaharu Munetomo

Zensho Nakao

Tomoaru Nakashima

Bart Naudts

David Newth

Stefano Nolfi

Gabriela Ochoa

Victor Oduguwa

Charles Ofria

Gustavo Olague

Markus Olhofer

Una-May O’Reilly

Franz Oppacher

Jim Ouimette

Charles Palmer

Liviu Panait

Gary Parker

Anil Patel

Tom Portegys

Mitchell A. Potter

Walter Potter

Dilip Pratihar

Adam Prügel-Bennett

William Punch

Günter Raidl

Khaled Rasheed

Tapabrata Ray

Patrick Reed

John Reif

Andreas Reinholz

Jose Riquelme

Denis Robilliard

Franz Rothlauf

Bart Rylander

Eugene Santos

Kumara Sastry

David Schaffer

Martin Schmidt

Alan C. Schultz

Sandip Sen

Franciszek Seredynski

Jane Shaw

Anabela Simões

Abhishek Singh

Jim Smith

Alan Soper

V. Sundararajan

Gil Syswerda

Ernesto Tarantino

Hugo Terashima-Marin

Lothar Thiele

Dirk Thierens

Andy Tomlinson

Shigeyoshi Tsutsui

Clarissa Van Hoyweghen

David Van Veldhuizen

Manuel Vazquez-Outomuro

Roger Wainwright

Matthew Wall

Ingo Wegener

Joachim Wegener

Darrill Whitley

Kay Wiese

Wendy Williams

Stewart Wilson

Mark Wineberg

Alden Wright

Annie Wu

Ayse Yilmaz

Tian-Li Yu

Lyudmila A. Zinchenko

Best-Paper Awards

As part of the double-blind peer review, the 34 papers listed below were nominated for consideration for a best paper award. The winners of this award will be selected by secret vote by the registered attendees to the conference. For the voting, you should have received three (3) ballots to elect the best papers with your registration package (one ballot for each day of the technical sessions). If you did not receive three ballots, please contact the registration desk immediately.

Papers compete in different categories according to the deme to which they were submitted (e.g., GA papers compete only against other GA papers). Please return your ballot to the registration desk at the end of each day, so we can count the votes and announce the winners promptly.

Selected best paper award winners will be invited to submit an expanded version of their paper to the Kluwer journal Genetic Programming and Evolvable Machines. Throughout this schedule, nominated papers are highlighted with a star () to make them easier to find. All papers have the deme they were submitted to listed along the title to help with write-in votes.

Immune Inspired Somatic Contiguous Hypermutation for Function (AIS), Johnny Kelsey, Jonathan Timmis

Efficiency and Reliability of DNA-based Memories (DMQ), Max Garzon, Andrew Neel , Hui Chen

Hardware Evolution of Analog Speed Controllers for a DC Motor (EH), David Gwaltney, Michael Ferguson

Integration of Genetic Programming and Reinforcement Learning for Real Robots (ER), Shotaro Kamio, Hideyuki Mitshuhashi, Hitoshi Iba

Co-Evolving Task-Dependent Visual Morphologies in Predator-Prey Experiments (ER), Gunnar Buason, Tom Ziemke

The Steady State Behavior of (m/m_i,l)-ES on Ellipsoidal Fitness Models Disturbed by Noise (ES/EP), Hans-Georg Beyer, Dirk Arnold

On the Optimization of Monotone Polynomials by the (1+1) EA and Randomized Local Search (ES/EP), Ingo Wegener, Carsten Witt

Ruin and Recreate Principle Based Approach for the Quadratic Assignment Problem (ES/EP), Alfonsas Misevicius

Evolutionary Computing as a Tool for Grammar Development (ES/EP), Guy De Pauw

Adaptive Elitist-population Based Genetic Algorithm for Multimodel Function Optimization (GA), Kwong-Sak Leung, Yong Liang

Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage (GA), Kumara Sastry, David E. Goldberg

Effective Use of Directional Information in Multi-Objective Evolutionary Computation (GA), Martin Brown, Robert Smith

Are Multiple Runs of Genetic Algorithms Better Than One? (GA), Erick Cantú-Paz, David E. Goldberg

Selection in the Presence of Noise (GA), Jürgen Branke, Christian Schmidt

Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming (GP), Leonardo Vanneschi, Marco Tomassini, Manuel Clergue, Philippe Collard

Dynamic Maximum Tree Depth – A Simple Technique for Avoiding Bloat in Tree-Based GP (GP), Sara Silva, Jonas Almeida

Generative Representations for Evolving Families of Designs (GP), Gregory Hornby

Fundamental Mechanisms Concerning Trees in Standard GP (GP), Jason Daida, Adam Hilss

Visualizing Tree Structures in Genetic Programming (GP), Jason Daida, Adam Hilss, David Ward, Stephen Long

Methods for Evolving Robust Programs (GP), Liviu Panait, Sean Luke

Population Implosion in Genetic Programming (GP), Sean Luke, Gabriel Balan, Liviu Panait

Designing Efficient Exploration with MACS: Modules and Function Approximation (LCS), Pierre Gérard, Olivier Siguad

Tournament Selection: Stable Fitness Pressure in XCS (LCS), Martin Butz, Kumara Sastry, David E. Goldberg

Towards Building Block Propagation in XCS: A Negative Result and Its Implications (LCS), Kurian Tharakunnel, Martin Butz, David E. Goldberg

Quantum-Inspired Evolutionary Algorithm-Based Face Verification (RWA), Jun-Su Jang, Kuk-Hyun Han, Jong-Hwan Kim

Mining Comprehensive Clustering Rules with an Evolutionary Algorithm (RWA), Ioannis Sarafis, Phil Trinder, Ali Zalzala

System-Level Synthesis of MEMS Via Genetic Programming and Bond Graphs (RWA), Zhun Fan, Kisung Seo, Jianjun Hu, Ronald C. Rosenberg, Erik Goodman

Active Guidance for a Finless Rocket using Neuroevolution (RWA), Faustino Gomez, Risto Miikkulainen

Extracting Test Sequences from a Markov Software Usage Model by ACO (SBSE), Karl Doerner, Walter Gutjahr

Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms (SBSE), Brian Mitchell, Spiros Mancoridis

A Non-Dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization (AAAA), Xiaodong Li

Emergence of Collective Behavior in Evolving Populations of Flying Agents (AAAA), Lee Spector, Jon Klein, Christopher Perry, Mark Feinstein

Finite Population Models of Co-Evolution and Its Application to Haploidy Versus Diploidy (COEV), Anthony Liekens, Huub ten Eikelder, Peter Hilbers

A Game-Theoretic Memory Mechanism for Coevolution (COEV), Sevan Ficici, Jordan Pollack

About the Evolutionary Computation in Industry Track

This year’s GECCO includes, for the second year, a track on Evolutionary Computation in Industry (ECI). The presentations in this track will be of most use to managers, technology scouts, and other individuals interested in assessing the potential of evolutionary algorithms to solve their industrial optimization problems. The goal of the presenters in this track is to tell you about the realities and possibilities of evolutionary computation applications and to describe successful industrial applications, rather than to focus on technical details and the particular approaches taken.

There are six sessions in the Evolutionary Computation in Industry track:

  • The first session contains an introduction to evolutionary computation in industry, including two presentations describing successful industrial projects. (Monday July 14, 13:15–14:30)

  • The second session concerns evolutionary computation and design, and includes three presentations describing the solution of design problems using evolutionary algorithms. (Monday July 14, 15:00–16:15)

  • The third session concerns evolutionary computation and data mining. The session will focus on the newly-evolving field of classifier systems and their application to learning generalizations and rules from databases and simulations. (Tuesday July 15, 13:15–14:30)

  • The fourth session concerns innovative uses of evolutionary algorithms, and will showcase the state of the art in various domains. (Tuesday July 15, 15:00–16:15)

  • The fifth session concerns evolutionary computation andlogistics, and includes talks showing a variety of ways in which evolutionary algorithms can be combined with other algorithms to produce cutting-edge solutions to real problems. (Wednesday July 16, 13:15–14:30)

  • The sixth session concerns lessons learned in evolutionary computation applications, and includes two presentations detailing the things to do and not to when applying an evolutionary algorithm application in a practical setting. The session will conclude with a brief discussion planning for next year’s Evolutionary Computation in Industry track. (Wednesday July 16, 15:00–16:15)

All ECI sessions will take place in the Western Stage House.

Schedule at a Glance

Saturday, July 12th

Workshops

8:30 – 12:30

12:30
to
14:00

14:00 – 16:00

Shakespeare

Learning, Adaptation, and Approximation in Evolutionary Computation

Lunch on your own

Learning, Adaptation, and Approximation in Evolutionary Computation

American

Workshop on Memetic Algorithms (WOMA-IV)

Workshop on Memetic Algorithms (WOMA-IV)

Steamboat 2

Interactive Evolutionary Search and Exploration Systems

Grammatical Evolution Workshop (GEWS)

Western Stage House

Evolutionary Algorithms for Dynamic Optimization Problems

Challenges in Real World Optimisation Using Evolutionary Computing

Lake House

Analysis and Design of Representations and Operators (ADoRo)

Application of Hybrid Evolutionary Algorithms to NP-complete Problems

Merchant’s Hotel

Biological Applications for Genetic and Evolutionary Computation (BioGEC)

Bull’s Head

Evolvable Hardware

Undergraduate Student Workshop

Marquette Room

International Workshop on Learning Classifier Systems

International Workshop on Learning Classifier Systems

Mark Beaubien

Graduate Student Workshop

Graduate Student Workshop

REGISTRATION: 7:30 - 17:00 in foyer of 14th Floor

Coffee breaks: 10:20 – 10:40 and 15:50 – 16:10

There will be coffee stations in the Front Hall.

Workshops Schedule
Saturday July 12

Full Day Workshops (8:30 – 18:00)

Graduate Student Workshop Mark Beaubien

Sean Luke, Maarten Keitzer, Terry Riopka

International Workshop on Learning Classifier Systems Marquette Room

Wolfgang Stolzmann, Pier-Luca Lanzi, Stewart Wilson

Learning, Adaptation, and Approximation
in Evolutionary Computation
Shakespeare

Sibylle Mueller, Petros Koumoutsakos, Marc Schoenauer

Yaochu Jin, Sushil Louis, Khaled Rasheed

Workshop on Memetic Algorithms 2003 (WOMA-IV) American

Peter Merz, William E. Hart, Natalio Krasnogor, Jim E. Smith

Morning Workshops (8:30 – 12:30)

Analysis and Design of Representations and Operators (AdoRo’2003) Lake House

Franz Rothlauf and Dirk Thierens

Evolutionary Algorithms for Dynamic Optimization Problems Western Stage House

Jürgen Branke

Interactive Evolutionary Search and Exploration Systems Steamboat 2

Ian Parmee

Biological Applications for Genetic and Evolutionary Computation
(BioGEC’2003) Merchant’s Hotel

Wolfgang Banzhaf and James Foster

Evolvable Hardware Bull’s Head

John C. Gallagher

Afternoon Workshops (14:00 – 18:00)

Application of Hybrid Evolutionary Algorithms to
NP-complete Problems Lake House

Francisco Baptista Pereira, Ernesto Costa, Günther Raidl

Challenges in Real World Optimization Using
Evolutionary Computing
Western Stage House

Rajkumar Roy, Ashutosh Tiwari

Grammatical Evolution Workshop (GEWS’2003) Steamboat 2

Michael O’Neill, Conor Ryan

Undergraduate Student WorkshopBull’s Head

Mark M. Meysenburg

Schedule at a Glance

Sunday July 13

Tutorials

8:30 – 10:15

10:35 - 12:20

12:20 - 13:50

13:50 - 15:35

15:55 - 17:40

18:30 - 19:30

Steamboat 1

Genetic Programming Theory 1

Software Testing via Evolutionary Computation

Quantum Computing for Genetic Programmers

Intro to Ant Colony Optimization

Reception in Wolf Point Ballroom. 15th floor

American

Intro to Genetics

Industrial Applications of Evolvable Hardware

Anticipatory Classifier Systems

Grammatical Evolution

Bull’s Head

Intro to Genetic Programming

Genetic Programming Theory II

Intro to Evolution Strategies

Intro to Learning Classifier Systems

Merchant’s Hotel

Bioinformatics with Evolutionary Computation

Using Appropriate Statistics

Mathematical Theory of Evolutionary Computation

Intro to Data Mining & Machine Learning

Western Stage House

Testing & Evaluating Evolutionary Computation Algorithms

Multiobjective Optimization with Evolutionary Computation

Intro to Immune System Computing

Unified Approach to Evolutionary Computation

Lake House

The Design of Innovation

Evolutionary Robotics

Evolving Neural Network Ensembles

Computational Complexity and Evolutionary Computation

Shakespeare

Representations for Evolutionary Algorithms

Intro to Genetic Algorithms

Bionics: Building on Biological Evolution

Visualization in Evolutionary Algorithms

Steamboat 2

Evolvable Hardware

Intro to Parallel Genetic Algorithms

Neutral Evolution in Evolutionary Computation

REGISTRATION: 87:30 – 17:00 in foyer of 14th Floor

Coffee breaks: 10:15 - 10:35 and 15:30 – 15:55
There will be coffee stations in the Front Hall

LUNCH: 12:20 – 13:50 on your own.

RECEPTION: 18:30 – 19:30 in Wolf Point Ballroom, 15th Floor.

Tutorial Schedule
Sunday July 13

Session 1 (8:30—10:15)

Introduction to Genetic Programming, John Koza Bull’s Head

Introduction to Genetics, Annie S. Wu American

Genetic Programming Theory I, William Langdon and/or Riccardo Poli Steamboat 1

Bioinformatics with Evolutionary Computation, Daniel Howard Merchant’s Hotel

Testing & Evaluating Evolutionary Computation Algorithms, Darrell Whitley Western Stage House

The Design of Innovation: Lessons from and for Competent GAs, David E. Goldberg Lake House

Evolvable Hardware, Didier Keymeulen Steamboat 2

Representations for Evolutionary Algorithms, Franz Rothlauf Shakespeare

Session 2 (10:35—12:20)

Introduction to Genetic Algorithms, Robert Heckendorn Shakespeare

Introduction to Parallel Genetic Algorithms, Erick Cantú-Paz Steamboat 2

Genetic Programming Theory II, William Langdon and/or Riccardo Poli Bull’s Head

Software Testing via Evolutionary Computation, Joachim Wegener and/or Mark Harman Steamboat 1

Industrial Applications of Evolvable Hardware, Tetsuya Higuchi American

Evolutionary Robotics: History, Methods, and New Trends, Dario Floreano Lake House

Using Appropriate Statistics, Steffan Christiensen Merchant’s Hotel

Multiobjective Optimization with Evolutionary Computation, Carlos Coello Western Stage House

Session 3 (13:50—15:35)

Introduction to Evolution Strategies, Hans-Georg Beyer Bull’s Head

Introduction to Immune System Computing, Stephanie Forrest Western Stage House

Mathematical Theory of Evolutionary Computation, Michael Vose Merchant’s Hotel

Bionics: Building on Biological Evolution, Ingo Rechenberg Shakespeare

Evolving Neural Network Ensembles, Xin Yao Lake House

Anticipatory Classifier Systems, Wolfgang Stolzmann American

Quantum Computing for Genetic Programmers, Lee Spector Steamboat 1

Session 4 (15:55—17:40)

Introduction to Learning Classifier Systems, Stewart Wilson Bull’s Head

Introduction to Ant Colony Optimization, Martin Middendorf Steamboat 1

Introduction to Data Mining and Machine Learning, Hillol Kargupta Merchant’s Hotel

Neutral Evolution in Evolutionary Computation, Tina Yu Steamboat 2

Unified Approach to Evolutionary Computation, Ken DeJong Western Stage House

Computational Complexity and Evolutionary Computation, Ingo Wegener Lake House

Grammatical Evolution, Conor Ryan and/or Michael O’Neill American

Visualization in Evolutionary Computation, Christian Jacob Shakespeare

18:30 – 19:30

Opening reception Wolf POint Ballroom, 15th Floor

Greet old friends and meet new ones at the conference’s opening reception! Also visit with keynote speaker, John Holland. Dr. Holland will be presenting Monday morning at 8:00 in the Sauganash Ballroom.

The reception is free to all registered GECCO attendees. Hot hors d’oeuvres, vegetables, and wine will be served.

Your badge is your admission ticket, please remember to wear it.

Schedule at a Glance

Monday July 14

Sauganash Ballroom East

Sauganash Ballroom West

Western Stage House

Merchant’s Hotel

Steamboat Hotel

Shakespeare Hotel

8:00-9:30

Plenary session in Sauganash Ballroom. John Holland

9:30-10:00

Coffee Break

10:00-11:40

GA Theory 1

RWA Learning

GA
Multiobjective 1

COEV
Theory & Practice

GP
Best Paper Nominees 1

GA Applications 1

11:40-13:15

Kluwer "No Free Lunch" lunch (with a free box lunch) in the Sauganash Ballroom.

13:15-14:30

GA Theory 2

RWA Vision & Imaging 1

ECI Applications in Industry

COEV Applications

GP
Best Paper Nominees 2

GA
Multiobjective 2/Tech

14:30-15:00

Coffee Break

15:00-16:15

GA Theory 3

RWA Vision & Imaging 2

ECI Computation and Design

COEV Best Paper Nominees

GP Analysis

GA Techniques/Theory

16:15-16:45

Coffee Break

16:45-18:00

GA Theory 4

RWA Misc

GA Applications 2

LBP 1

GP Applications

EH & ES/EP Best Paper Nominees


REGISTRATION: 7:30 - 17:00 in foyer of 14th Floor

Coffee breaks: 9:30 - 10:00, 14:30 – 15:00 and 16:15 – 16:45. Coffee Stations are located in the Front Hall.

LUNCH: 11:40 – 13:15 on your own, but are invited to attend the free Kluwer "No Free Lunch" lunch (with a free box lunch) featuring the 15 books in the Genetic Algorithms and Genetic Programming book series from Kluwer Academic Publishers, including world premiere showing of the Genetic Programming IV video (42 minutes)

“Best of GECCO” paper nominations. Remember to vote on the best papers and submit your ballot at the registration desk.

Monday July 14, 8:00 – 9:30

KEYNOTE TALK Sauganash Ballroom

Genetic Algorithms as an Engine for the Study of Complex Adaptive Systems.

John Holland

University of Michigan

Structural hierarchies, wherein building blocks at one level are combined to form building blocks at the next level, are central to our understanding of the world. The ability of genetic algorithms to locate good building block combinations, when supplied with an appropriate representation, makes them a useful tool for understanding this process, and the advent of agent-based models puts emphasis on extending this ability to the formation of structural hierarchies.

There are three kinds of models relevant to building this capacity: (i) models of open-ended evolution, where agents of ever greater complexity provide ‘niches’ for still other agents; (ii) models of the ways in which signaling networks, such as food webs and bio-circuits, increase in complexity; (iii) models of social processes, such as language-acquisition, that allow combinatoric use of a small ‘vocabulary’ to describe novel situations. These models share features that make exploratory studies with genetic algorithms feasible.

_____________________________________________________

John H. Holland is Professor of Computer Science and Engineering and Professor of Psychology at the University of Michigan; he is also External Professor and member of the Executive Committee of the Board of Trustees at the Santa Fe Institute. He was made a MacArthur Fellow in 1992 and is a Fellow of the World Economic Forum. He serves on standing panels for the Packard Foundation and the McDonnell Foundation.

Dr. Holland has been interested for more than 40 years in what are now called complex adaptive systems (CAS). He formulated genetic algorithms, classifier systems and the Echo models as tools for studying the dynamics of such systems. His books, HIDDEN ORDER (1995) and EMERGENCE (1998), summarize many of his thoughts about CAS.

_____________________________________________________

Meet John Holland at the Conference Reception Sunday evening, 18:30 – 19:30 in the Wolf Point Ballroom on the 15th floor.

Monday July 14, 10:00 – 11:40

GA Theory 1* Sauganash Ballroom East Chair: M. D. Vose

EC Theory: A Unified Viewpoint
Christopher Stephens, Adolfo Zamora

Coarse-Graining in Genetic Algorithms: Some Issues and Examples
Andrés Contreras, Jonathan Rowe, Christopher Stephens

Distances between Populations
Mark Wineberg, Franz Oppacher

RWA Learning* Sauganash Ballroom West Chair: David Davis

Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-Temporal Data
Allan Tucker, Xiaohui Liu, David Garway-Heath

A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model
Flor Castillo, Kenric Marshall, James Green, Arthur Kordon

Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
Lourdes Araujo

GA Multiobjective 1 Western Stage House Chair: K. Rasheed

A Specialized Island Model and its Application in Multiobjective Optimization
Ningchuan Xiao, Marc Armstrong

HEMO: A Sustainable Multi-Objective Evolutionary Optimization Framework
Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenberg, Erik Goodman

A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization
Hisao Ishibuchi, Youhei Shibata

Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
Hisao Ishibuchi, Takashi Yamamoto

COEV Theory & Practice Merchant’s Hotel Chair: Paul Wiegand

Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA
Thomas Jansen, R. Paul Wiegand

Learning the Ideal Evaluation Function
Edwin De Jong, Jordan Pollack

Representation Development from Pareto-Coevolution
Edwin De Jong

Focusing versus Intransitivity. Geometrical Aspects of Co-evolution
Anthony Bucci, Jordan Pollack

GP Best Paper Nominees 1 Steamboat Hotel Chair: Una-May O’Reilly

Dynamic Maximum Tree Depth - A Simple Technique for Avoiding Bloat in Tree-Based GP
Sara Silva, Jonas Almeida

Population Implosion in Genetic Programming
Sean Luke, Gabriel Balan, Liviu Panait

Fundamental Mechanisms Concerning Trees in Standard GP
Jason Daida, Adam Hilss

Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming
Leonardo Vanneschi, Marco Tomassini, Manuel Clergue, Philippe Collard

GA Applications 1 Shakespeare Hotel Chair: I. Wegener

Reinforcement Learning Estimation of Distribution Algorithm
Topon Kumar Paul, Hitoshi Iba

Pruning Neural Networks with Distribution Estimation Algorithms
Erick Cantú-Paz

Design of Multithreaded Estimation of Distribution Algorithms
Jiri Ocenasek, Josef Schwarz, Martin Pelikan

Hybridization of Estimation of Distribution Algorithms with A Repair Method for Solving Constraint S
Hisashi Handa


* These sessions are from 10:00 – 11:10

Monday July 14, 13:15 – 14:30

GA Theory 2* Sauganash Ballroom East Chair: J. Rowe

The Underlying Similarity of Diversity Measures Used in Evolutionary Computation
Mark Wineberg, Franz Oppacher

Schema Analysis of Average Fitness in Multiplicative Landscape
Hiroshi Furutani

RWA Vision & Imaging 1* Sauganash Ballroom West Chair: Erik Goodman

Web-Page Color Modification for Barrier-Free Color Vision with Genetic Algorithm
Manabu Ichikawa, Kiyoshi Tanaka, Shoji Kondo, Koji Hiroshima, Kazuo Ichikawa, Shoko Tanabe, Kiichiro Fukami

Evolving Sensor Suites for Enemy Radar Detection
Ayse Yilmaz, Brian N. McQuay, Han Yu, Annie Wu, John C. Sciortino, Jr.

ECI Applications in Industry Western Stage House Chair: R. Roy and D. Davis

Overview of the ECI Track
Rajkumar Roy, David Davis

A Case Study of Collaboration on Experimental Optimization in the Aerospace Industry
Mark Jakiela

Discovery of Efficient Routing Policies in Ad Hoc Wireless Networks
Harris Zebrowitz

COEV Applications Merchant’s Hotel Chair: Bir Bhanu

PalmPrints: A Novel Co-Evolutionary Algorithm for Clustering Finger Images
Nawwaf Kharma, Ching Suen, Pei-Fang Guo,

Evolving RoboCup Keepaway Players through Task Decomposition
Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone,

Coevolution and Linear Genetic Programming for Visual Learning
Krzysztof Krawiec, Bir Bhanu

GP Best Paper Nominees 2 Steamboat Hotel Chair: John Koza

Visualizing Tree Structures in Genetic Programming
Jason Daida, Adam Hilss, David Ward, Stephen Long

Methods for Evolving Robust Programs
Liviu Panait, Sean Luke

Generative Representations for Evolving Families of Designs
Gregory Hornby

GA Multiobjective 2/Tech. Shakespeare Hotel Chair: C. C. Coello

Real-Parameter Genetic Algorithms for Finding Multiple Optimal Solutions in Multi-Modal Optimization
Pedro Ballester, Jonathan N. Carter

Constrained Multi-Objective Optimization Using Steady State Genetic Algorithms
Deepti Chafekar, Jiang Xuan, Khaled Rasheed

Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms
Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi

* These sessions are from 13:45 – 14:30.

Monday July 14, 15:00 – 16:15

GA Theory 3 Sauganash Ballroom East Chair: K. Sastry

Implicit Paralellism
Michael Vose, Alden Wright, Michael Vose, Jonathan Rowe

Two Broad Classes of Functions for Which a No Free Lunch Result Does Not Hold
Matthew Streeter

On the Treewidth of NK Landscapes
Yong Gao, Joseph Culberson

RWA Vision & Imaging 2 Sauganash Ballroom West Chair: Bir Bhanu

Learning Composite Features for Object Recognition
Yingqiang Lin, Bir Bhanu,

GenTree: An Interactive Genetic Algorithms System for Designing 3D Polygonal Tree Models
Clare Bates Congdon, Ray Mazza

Improved Image Halftoning Technique Using GAs with Concurrent Inter-block Evaluation
Emi Myodo,Hernan Aguirre, Kiyoshi Tanaka

ECI Evolutionary Algorthims
and Design Western Stage House Chair: R. Jakiela

An Industrial Application Using Evolutionary Computation for Design
Rajkumar Roy

Evolutionary Computation and Mechanical Design:  Past Successes and Future Directions
Mark Jakiela

Genetic Algorithms in Engineering Design - Evolving from Research to Routine Industrial Practices
Siu Tong

COEV Best Paper Nominees Merchant’s Hotel Chair: Sevan Ficici

Finite Population Models of Co-Evolution and its Application to Haploidy Versus Diploidy
Anthony Liekens, Huub ten Eikelder, Peter Hilbers

A Game-Theoretic Memory Mechanism for Coevolution
Sevan Ficici, Jordan Pollack

The Paradox of the Plankton – Oscillations and Chaos in Multispecies Evolution
Jeffrey Horn, James Cattron

GP Analysis Steamboat Hotel Chair: Wolfgang Banzhaf

What Makes A Problem GP-Hard? Identifying Context-Free Mechanisms
Jason Daida, Hsiaolei Li, Ricky Tang, Adam Hilss

On the Avoidance of Fruitless Wrapsin Grammatical Evolution
Conor Ryan, Maarten Keijzer, Miguel Nicolau

Structural Emergence with Order Independent Representations
R. Muhammad Atif Azad, Conor Ryan

GA Techniques/Theory Shakespeare Hotel Chair: R. Smith

Quad Search and Hybrid Genetic Algorithms
Darrell Whitley, Deon Garrett, Jean-Paul Watson

The Structure of Evolutionary Exploration: On Crossover, Building Blocks, and Estimation-of-Distribution Algorithms
Marc Toussaint

The State Problem for Evolutionary Testing
Mike Holcombe, Phil McMinn

Monday July 14, 16:45 – 18:00

GA Theory 4 Sauganash Ballroom East Chair: C. Stephens

Introduction to Entropy-Based Measures of Gene Significance and Epistasis
Dong-Il Seo, Yong-Hyuk Kim, Byung-Ro Moon

Tightness Time for the Linkage Learning Genetic Algorithm
Ying-ping Chen, David E. Goldberg

Optimal Sampling and Speed-up for Genetic Algorithms on the Sampled OneMax Problem
Tian-Li Yu, David E. Goldberg, Kumara Sastry

Real Royal Road Functions for Constant Population Size
Tobias Storch, Ingo Wegener

RWA Misc Sauganash Ballroom West Chair: Sean Forman

Congressional Districting Using a TSP-based Genetic Algorithm
Sean Forman, Yading Yue

GA-based Inference of Euler Angles for Single Particle Analysis
Shusuke Saeki, Kiyoshi Asai, Katsutoshi Takahashi, Yutaka Ueno, Katsunori Isono, Hitoshi Iba

The General Yard Allocation Problem
Ping Chen, Zhaohui Fu, Andrew Lim, Brian Rodrigues

Using Genetic Algorithms for Data Mining Optimization in an Educational Web-based System
Behrouz Minaei-Bidgoli, William Punch III

GA Applications 2 Western Stage House Chair: H. Ishibuchi

Designing A Hybrid Genetic Algorithm for the Linear Ordering Problem
Gaofeng Huang, Andrew Lim

A Generalized Feedforward Neural Network Architecture and its Training using Two Stochastic Search M
Abdesselam Bouzerdoum, Rainer Mueller

A Hybrid Genetic Algorithm for the Hexagonal Tortoise Problem
Heemahn Choe, Sung-Soon Choi, Byung-Ro Moon

Genetic Algorithm Optimized Feature Transformation – A Comparison with Different Classifiers
Zhijian Huang, Min Pei, Erik Goodman, Yong Huang, Gaoping Li

LBP 1 Merchant’s Hotel Chair: Bart Rylander

An Evolutionary Optimization algorithm Based on Bacterial Reproduction
Mohamed Awadallah, Erik Buehler, Sanjoy Das

A Distance Function-Based Multi-Objective Evolutionary Algorithm
Wei-Chun Chang, Alistair Sutcliffe, Richard Neville

An Empirical Study of the Accelerating Phenomenon in Genetic Parallel Programming
Sin Man Cheang, Kin Hong Lee, Kwong Sak Leung

A Robust Master-Slave Distribution Architecture for Evolutionary Computations
Christian Gagne, Marc Parizeau, Marc Dubreuil

Using an Evolution Strategy for a University Timetabling System with a Web Based Interface to Gather Real Student Data
Thomas B. George, Vitaliy Opalikhin, Chan-Jin Chung

A Study of Evolutionary Acceleration
S. Kazadi, S. Cheung, C. Ogletree, S. Kim, C. Lee, A. Min

Mobile Robot Simultaneous Localization and Mapping Using a Evolutionary Particle Filter
N.M. Kwok, S. Kwong

GP Applications Steamboat Hotel Chair: Lee Spector

Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption
Hongwei Liu, Hitoshi Iba

Evolutionary Computation Method for Promoter Site Prediction in DNA
Daniel Howard, Karl Benson

Dense and Switched Modular Primitives for Bond Graph Model Design
Kisung Seo, Zhun Fan, Jianjun Hu, Erik Goodman, Ronald Rosenberg,

EH & ES/EP
Best Paper Nominees Shakespeare Hotel Chair: Didier Keymeulen

Hardware Evolution of Analog Speed Controllers for a DC Motor
David Gwaltney, Michael Ferguson

Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware
John Gallagher, Saranyan Vigraham

On the Optimization of Monotone Polynomials by the (1+1) EA and Randomized Local Search
Ingo Wegener, Carsten Witt

Schedule at a Glance

Tuesday July 15

Sauganash Ballroom East

Sauganash Ballroom West

Western Stage House

Merchant’s Hotel

Steamboat Hotel

Shakespeare Hotel

8:00-9:30

Plenary session: Richard Lenski

9:30-10:00

Coffee Break

10:00-11:40

GA Best Paper Nominees 1

RWA Industrial 1

LCS Best Paper Nominees

ER Best Paper Nominees

GA Applications 3

SBSE

11:40-13:15

Lunch (on your own)

13:15-14:30

GA Best Paper Nominees 2

RWA Industrial 2

ECI New Approaches to Data Mining

LBP 2

GA Operators 1

SBSE Best Paper Nominees

14:30-15:00

Coffee Break

15:00-16:15

GA Operators 2

RWA Bioinformatics 1

ECI Innovative Applications

LBP 3

AAAA Best Paper Nominees

ES/EP Best Paper Nominees

16:15-16:45

Coffee Break

16:45-18:00

GA Applications 4

RWA Bioinformatics 2

GA Operators 3

LBP 4

AAAA Runtime Details

ES/EP Theory & Practice

19:00-22:00

Poster session: Wolf Point Ballroom, 15th floor


REGISTRATION: 8:00 - 17:00 in foyer of 14th Floor

Coffee breaks: 9:30 - 10:00, 14:30 – 15:00 and 16:15 – 16:45. Coffee stations are located in the Front Hall

LUNCH: 11:40 – 13:15 on your own.

“Best of GECCO” paper nominations. Remember to vote on the best papers and submit your ballot at the registration desk.

POSTER SESSION: 19:00 to 22:00 in the Wolf Point Ballroom on the 15th floor. Dessert, coffee and wine will be served.

Tuesday July 15, 8:00 – 9:30

KEYNOTE TALK Sauganash Ballroom

How the Digital Leopard Got His Spots: Thinking About Evolution Inside the Box

Richard Lenski

Michigan State University

The field of evolutionary biology has strong theoretical and empirical foundations, yet it often suffers from an inability to pin down exactly what happened and how. These limitations reflect the extinction of intermediate forms and incomplete knowledge of the genetic and developmental mechanisms that produce most organismal features. Hence, evolutionary biologists often rely on plausibility arguments, which are sometimes criticized as ‘just-so’ stories. Experiments using organisms with rapid generations, such as bacteria, can overcome some of these limitations, but certain aspects remain obscure. Experiments with digital organisms and other computational systems offer the unique opportunity to observe evolutionary change and dissect its products in perfect detail (without the confining assumptions of more standard numerical simulations). To illustrate, I will present some experiments on the evolutionary origin of novel functions using the Avida system. From my own perspective as a biologist, I see many exciting opportunities at the interface of biology and computer science.

_____________________________________________________

Richard Lenski is a biologist at Michigan State University. He received his undergraduate degree from Oberlin College, and his Ph.D. from the University of North Carolina. After a postdoc at the University of Massachusetts, he joined the faculty at the University of California, Irvine, then moved to MSU in 1991. For most of his career, he has studied bacteria in order to observe evolutionary dynamics on an experimentally tractable timescale. In one experiment, he has followed 12 replicate populations of bacteria while they have evolved for more than 30,000 generations in a laboratory environment. A few years ago, he also began collaborative research with Chris Adami (Caltech) and Charles Ofria (now at MSU) on ‘digital organisms’ in the Avida system. Lenski’s interest lies in exploring the evolutionary process in both the computational and biological realms.

Tuesday July 15, 10:00 – 11:40

GA Best Paper Nominees 1 Sauganash Ballroom East Chair: R. Heckendorn

Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage
Kumara Sastry, David E. Goldberg

Are Multiple Runs of Genetic Algorithms Better Than One?
Erick Cantú-Paz, David E. Goldberg

Selection in the Presence of Noise
Juergen Branke, Christian Schmidt

Adaptive Elitist-population Based Genetic Algorithm for Multimodal Function Optimization
Kwong-Sak Leung, Yong Liang

RWA Industrial 1 Sauganash Ballroom West Chair: Rajkumar Roy

Genetic Algorithm for Supply Planning Optimization Under Uncertain Demand
Masaru Tezuka, Masahiro Hiji

Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm
Lionel Elliott, Derek Ingham, Adrian Kyne, Nicolae Mera, Mohamed Pourkashanian, Christopher Wilson

Parameter Optimization by a Genetic Algorithm for Pitch Tracking System
Yoon-Seok Choi, Byung-Ro Moon

Minimization of Sonic Boom on Supersonic Aircraft Using an Evolutionary Algorithm
Charles Karr, Rodney Bowersox, Vishnu Singh

LCS Best Paper Nominees Western Stage House Chair: Lashon Booker

Towards Building Block Propagation in XCS: A Negative Result and Its Implications
Kurian Tharakunnel, Martin Butz, David E. Goldberg

Designing Efficient Exploration with MACS: Modules and Function Approximation
Pierre Gérard, Olivier Sigaud

Tournament Selection: Stable Fitness Pressure in XCS
Martin Butz, Kumara Sastry, David E. Goldberg

Estimating Classifier Generalization and Action’s Effect: A Minimalist Approach
Pier Luca Lanzi

ER Best Paper Nominees Merchant’s Hotel Chair: Mitchell Potter

Co-Evolving Task-Dependent Visual Morphologies in Predator-Prey Experiments
Gunnar Buason, Tom Ziemke

Integration of Genetic Programming and Reinforcement Learning for Real Robots
Shotaro Kamio, Hideyuki Mitsuhashi, Hitoshi Iba

Multi-Objectivity as a Tool for Constructing Hierarchical Complexity
Jason Teo, Minh Ha Hguyen, Hussein Abbass,

Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
Krister Wolff, Peter Nordin

GA Applications 3 Steamboat Hotel Chair: A. Wright

Cellular Programming and Symmetric Key Cryptography Systems
Franciszek Seredynski, Pascal Bouvry, Albert Zomaya

Population Sizing for the Redundant Trivial Voting Mapping
Franz Rothlauf

Learning a Procedure That Can Solve Hard Bin-packing Problems: A New GA-Based Approach to Hyper-Heur
Peter Ross, Javier G. Marín-Blázquez, Sonia Schulenburg, Emma Hart

Investigation of the Fitness Landscapes and Multi-Parent Crossover for Graph Bipartitioning
Yong-Hyuk Kim, Byung-Ro Moon

SBSE Shakespeare Hotel Chair: Joachim Wegener

Can Genetic Programming Improve Software Effort Estimation Based on General Datasets?
Martin Lefley, Martin Shepperd

Evolutionary Testing of Flag Conditions
André Baresel, Harmen Sthamer

Structural and Functional Sequence Testing of Dynamic and State-Based Software with EA
André Baresel, Hartmut Pohlheim, Sadegh Sadeghipour

Predicate Expression Cost Functions to Guide Evolutionary Search for Test Data
Leonardo Bottaci

Tuesday July 15, 13:15 – 14:30

GA Best Paper Nominees 2 Sauganash Ballroom East Chair: M. Schoenauer

Effective Use of Directional Information in Multi-Objective Evolutionary Computation
Martin Brown, Robert Smith

Efficient Linkage Discovery by Limited Probing
Robert Heckendorn, Alden Wright

Dispersion-based Population Initialization
Ronald Morrison

RWA Industrial 2 Sauganash Ballroom West Chair: S. Matsui

Control of a Flexible Manipulator Using a Sliding Mode Controller With Genetic
Algorithm Tuned Manipulator Dimenson
Ngai Kwok, S Kwong

An Efficient Hybrid Genetic Algorithm for a Fixed Channel Assignment Problem with Limited Bandwidth
Shouichi Matsui, Isamu Watanabe, Ken-ichi Tokoro

Optimal Elevator Group Control by Evolution Strategies
Thomas Beielstein, Claus-Peter Ewald, Sandor Markon

ECI: New Approaches
To Data Mining Western Stage House Chair: Alwyn Barry

Learning Generalizations, Control Rules, and Classification Strategies from Data with Learning Classifier Systems
Alwyn Barry

Commentary on Classifier System Approaches to Data Mining
Invited Speakers

LBP 2 Merchant’s Hotel Chair: Bart Rylander

Global Optimization Using a Knowledge-Based Classifier Model
H.Liu, T. Igusa, B.W. Schafer

A Grammatical Evolution Multi-Classifier through Crowding
A.R. McIntyre, M.I. Heywood

A Simple Evolution Strategy to Solve Constrained Optimization Problems
Efren Mezura-Montes, Carlos A. Coello Coello

Lessons Learned from LCSs: An Incremental Non-Generational Coevolutionary Algorithm
Ramon Alfonso Palacios-Durazo, Manuel Valenzuela-Rendon

Optimization of Neural Networks using Genetic Programming Improves Detection and Modeling of
Gene-Gene Interactions in Studies of Human Diseases
Marylyn D. Ritchie, Bill C.White, Joel S. Parker, Lance W. Hahn, Jason H. Moore

A New Perspective in Simulating Quantum Circuits
Mihai Udrescu, Lucian Prodan, Mircea Vladutiu

Tour Jete, Pirouette: Dance Choreographing by Swarm
Tina Yu, Paul Johnson

GA Operators 1 Steamboat Hotel Chair: F. Rothlauf

Wise Breeding GA via Machine Learning Techniques for Function Optimization
Xavier Llorá, David E. Goldberg

Using an Immune System Model to Explore Mate Selection in Genetic Algorithms
Chien-Feng Huang

An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem
Ying-ping Chen, David E. Goldberg

SBSE Best Paper Nominees Shakespeare Hotel Chair: Spiros Mancoridis

Extracting Test Sequences from a Markov Software Usage Model by ACO
Karl Doerner, Walter Gutjahr

Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms
Brian Mitchell, Spiros Mancoridis

The State Problem for Evolutionary Testing
Phil McMinn, Mike Holcombe

Tuesday July 15, 15:00 – 16:15

GA Operators 2 Sauganash Ballroom East Chair: J. Branke

Problem-Independent Schema Synthesis for Genetic Algorithms
Yong-Hyuk Kim, Yung-Keun Kwon, Byung-Ro Moon

Finding Building Blocks Through Eigenstructure Adaptation
Danica Wyatt, Hod Lipson

A Survey on Chromosomal Structures and Operators for Exploiting Topological Linkages of Genes
Dong-Il Seo, Byung-Ro Moon

RWA Bioinformatics 1 Sauganash Ballroom West Chair: Jason Moore

Artificial Immune System for Classification of Gene Expression Data
Shin Ando, Hitoshi Iba

Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
David Reif, Bill White, Nancy Olsen, Thomas Aune, Jason Moore

Finding the Optimal Gene Order in Displaying Microarray Data
Seung-Kyu Lee, Yong-Hyuk Kim, Byung-Ro Moon

ECI Innovative Applications Western Stage House Chair: Ken DeJong

Using Evolutionary Computation to Stress Test Complex Systems
Ken DeJong

Shape Optimization of Vehicle Structures
Erik Goodman

Scheduling for the Air Force Satellite Control Network
Darrell Whitley

LBP 3 Merchant’s Hotel Chair: Bart Rylander

Building-Block Identification by Simultaneity Matrix
Chatchawit Aporntewan, Prabhas Chongstitvatana

Regulating Population Size with Self-Organized Criticality 2
Britt Crawford, Annie S. Wu

An Efficient Design Methodology for the Nondominated Sorted Genetic Algorithm-II
Venkat Devireddy, Patrick Reed

Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic:
What Binary Refinement Can Do and Binary Representations Can Not
Flaviu Adrian Marginean

Evolutionary Incremental Concept Development for Case-Based Reasoning
Brian Mastenbrook, Eric Berkowitz

GeneRepair- A Repair Operator for Genetic Algorithms
George G. Mitchell, Diarmuid O’Donoghue, David Barnes, Mark McCarville

Soft Adaptive Multiple Expression Mechanisms for Structured and Multiploid Chromosome Representations
Olfa Nasraoui, Carlos Rojas, Cesar Cardona, Dipankar Dasgupta

Comparison Between Deterministic and Probabilistic Algorithms of Bounded Kolmogorov Complexity
Mikhail A. Semenov

AAAA Best Paper Nominees Steamboat Hotel

Emergence of Collective Behavior in Evolving Populations of Flying Agents
Lee Spector, Jon Klein, Christopher Perry, Mark Feinstein

A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization
Xiaodong Li

Demonstrating the Evolution of Complex Genetic Representations: An Evolution of Artificial Plants
Marc Toussaint

ES/EP Best Paper Nominees Shakespeare Hotel Chair: Marc Schoenauer

Ruin and Recreate Principle Based Approach for the Quadratic Assignment Problem
Alfonsas Misecvicius

The Steady State Behavior of (m/m_I, l)-ES on Ellipsoidal Fitness Models Disturbed by Noise
Hands-Georg Beyer, Dirk Arnold

Evolutionary Computing as a Tool for Grammar Development
Guy De Pauw

Tuesday July 15, 16:45 – 18:00

GA Applications 4 Sauganash Ballroom East Chair: H. Abbass

Hierarchical BOA Solves Ising Spin Glasses and MAXSAT
Martin Pelikan, David E. Goldberg

ERA: An Algorithm for Reducing the Epistasis of SAT Problems
Eduardo Rodriguez-Tello, Jose Torres-Jimenez

New Usage of SOM for Genetic Algorithms
Jung-Hwan Kim, Byung-Ro Moon

RWA Bioinformatics 2 Sauganash Ballroom West Chair: James Foster

Optimizing the Order of Taxon Addition in Phylogenetic Tree Construction Using Genetic Algorithm
Yong-Hyuk Kim, Seung-Kyu Lee, Byung-Ro Moon

Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm
Conrad Shyu, James A. Foster

An Evolutionary Approach for Molecular Docking
Jinn-Moon Yang

GA Operators 3 Western Stage House Chair: Yaochu Jin

Ant-Based Crossover for Permutation Problems
Jürgen Branke, Christiane Barz, Ivesa Behrens

Normalization in Genetic Algorithms
Sung-Soon Choi, Byung-Ro Moon

New Usage of Sammon's Mapping for Genetic Visualization
Yong-Hyuk Kim, Byung-Ro Moon

LBP 4 Merchant’s Hotel Chair: Bart Rylander

Formula Prediction using Genetic Algorithms
Namir Aldawoodi, Rafael Perez

A Modified NSGA-II to Solve Noisy Multiobjective Problems
Meghna Babbar, Ashvin Lakshmikantha, David E. Goldberg

A Genetic Algorithm for Multiobjective Multiconstrained Schedule Design
David D. Barth, Michelle D. Moore

Discovering Propositionalized Rules Via GasRule (Genetic Algorithms for Structural Rule Extraction)
Nailah Binti, Michel Liquiere, Stefano A. Cerri

Finding Maximum Cliques with Ants
Thang N.Bui, Joseph R. Rizzo Jr.

Multiple Heuristic Search in Genetic Algorithm for Traveling Salesman Problem
Peng Gang, Shigeru Nakahara

Evolving Efficient Security Systems Under Budget Constraints Using Genetic Algorithms
Michael L. Gargano, Paul Benjamin, William Edelson, Paul Meisinger, Maheswara Kasinadhuni, Joseph DeCicco

The Modular Genetic Algorithm: Motivation and First Results on Repetitive Modularity
Ozlem O. Garibay, Ivan I. Garibay, Annie S. Wu

AAAA Runtime Details Steamboat Hotel

The Influence of Run-Time Limits on Choosing Ant System Parameters
Krzysztof Socha

Revisiting Elitism in Ant Colony Optimization
Tony White, Simon Kaegi, Terri Oda

A New Approach to Improve Particle Swarm Optimization
Liping Zhang, Huanjun Yu, Shangxu Hu

ES/EP Theory & Practice Shakespeare Hotel Chair: Hans-Georg Beyer

Model-Assisted Steady-State Evolution Strategies
Holger Ulmer, Felix Streicher, Andreas Zell

Dimension-independent Convergence Rate for Non-isotropic (1,lambda)-ES
Anne Auger, Claude LeBris, Marc Schoenauer

Theoretical Analysis of Simple Evolution Strategies in Quickly Changing Environment
Jürgen Branke, Wei Wang

Schedule at a Glance

Wednesday July 16

Sauganash Ballroom East

Sauganash Ballroom West

Western Stage House

Merchant’s Hotel

Steamboat Hotel

Shakespeare Hotel

8:00-9:30

ISGEC Business Meeting

9:30-10:00

Coffee Break

10:00-11:40

GA Representation 1

RWA Best Paper Nominees

LCS Practice

GA Distributed Tech.

AIS Practice

DMQ Best Paper Nominees

11:40-13:15

Lunch (on your own)

13:15-14:30

GA Representations 2

RWA Design 1

ECI Logistics

LBP 5

AIS Best Paper Nominees

ESR

14:30-15:00

Coffee Break

15:00-16:15

GA Techniques 1

RWA Design & Security

ECI Lessons

LBP 6

AAAA Interactions

ES/EP Practice

16:15-16:45

Coffee Break

16:45-18:00

GA Techniques 2

RWA Financial & Security

GA Learning

LBP 7

AAAA Applications

Theory


REGISTRATION: 7:30 – 12:00 in Mansion House

Coffee breaks: 9:30 – 10:00 and 14:30 – 15:00 and 16:15 – 16:45. Coffee stations are located in the Front Hall.

LUNCH: 11:40 - 13:15 on your own.

“Best of GECCO” paper nominations. Remember to vote on the best papers and submit your ballot at the registration desk.

Wednesday July 16, 10:00 – 11:40

GA Representation 1 Sauganash Ballroom East Chair: A. Homaifar

Chromosome Reuse in Genetic Algorithms
Adnan Acan, Yüce Tekol

A Case For Codons in Evolutionary Algorithms
Josh Gilbert, Maggie Eppstein

Natural Coding: A More Efficient Representation for Evolutionary Learning
Raúl Giraldez, Jesús Aguilar-Ruiz, José Riquelme

The Virtual Gene Genetic Algorithm
Manuel Valenzuela-Rendón

RWA Best Paper Nominees Sauganash Ballroom West Chair: Faustino Gomez

Active Guidance for a Finless Rocket Using Neuroevolution
Faustino Gomez, Risto Miikkulainen

Mining Comprehensive Clustering Rules with an Evolutionary Algorithm
Ioannis Sarafis, Phil Trinder, Ali Zalzala

Quantum-inspired Evolutionary Algorithm-based Face Verification
Jun-Su Jang, Kuk-Hyun Han, Jong-Hwan Kim

System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs
Zhun Fan, Kisung Seo, Jianjun Hu, Ronald C. Rosenberg, Erik Goodman

LCS Practice Western Stage House Chair: Robert E. Smith

Evolving Multiple Discretizations with Adaptive Intervals for a Pittsburgh Rule-Based Learning Class
Jaume Bacardit, Josep Maria Garrell

Bounding the Population Size in XCS to Ensure Reproductive Opportunities
Martin Butz, David E. Goldberg

Improving Performance in Size-Constrained Extended Classifier Systems
Devon Dawson

Limits in Long Path Learning with XCS
Alwyn Barry

GA Distributed Tech. Merchant’s Hotel Chair: H. Barbosa

Asynchronous Genetic Algorithms for Heterogeneous Networks Using Coarse-Grained Dataflow
John Baugh Jr., Sujay Kumar

Exploring a Two-Population Genetic Algorithm
Steven Kimbrough, Ming Lu, David Wood, Dongjun Wu

A Parallel Genetic Algorithm Based on Linkage Identification
Masaharu Munetomo, Naoya Murao, Kiyoshi Akama

Distributed Probabilistic-Model Building Genetic Algorithm Discussion on Search Capability and Characteristics
Tomoyuki Hiroyasu, Mitsunori Miki, Masaki Sano, Hisashi Shimosaka, Shigeyoshi Tsutsui, Jack Dongarra

AIS Practice Steamboat Hotel Chair: J. Timmis

The Effect of Binary Matching Rules in Negative Selection
Fabio González, Dipankar Dasgupta, Jonatan Gómez,

Multiobjective Optimization using the Clonal Selection Principle
Nareli Cruz Cortés, Carlos Coello Coello

MILA – Multilevel Immune Learning Algorithm
Dipankar Dasgupta, Senhua Yu, Nivedita Sumi Majumdar,

A Scalable Artificial Immune System Model for Dynamic Unsupervised Learning
Olfa Nasraoui, Fabio González, Cesar Cardona, Carlos Rojas, Dipankar Dasgupta

DMQ Best Paper Nominees Shakespeare Hotel

Efficiency and Reliability of DNA-based Memories
Max Garzon, Andrew Neel, Hui Chen

Hybrid Networks of Evolutionary Processors
Carlos Martin-Vide, Victor Mitrana, Mario Pérez-Jiménez, Fernando Sancho-Caparrini

DNA-like Genomes for Evolution in Silico
Michael West, Max Garzon, Derrel Blain

Evolving Hogg's Quantum Algorithm using Linear-tree GP
André Leier, Wolfgang Banzhaf

Wednesday July 16, 13:15 – 14:30

GA Representations 2 Sauganash Ballroom East Chair: D. Thierens

Adaptation of Length in a Nonstationary Environment
Han Yu, Annie Wu, Kuo-Chi Lin, Guy Schiavone

Voronoi Diagrams based Function Identification
Carlos Kavka, Marc Schoenauer

Comparing Evolutionary Computation Techniques Via their Representation
Boris Mitavskiy

RWA Design 1 Sauganash Ballroom West Chair: Siu Shing Tong

Genetic Algorithms: A Fundamental Component of an Optimization Toolkit for Engineering Design
Siu Shing Tong, David Powell

Automatic Design Synthesis and Optimization of Component-based Systems by Evolutionary Algorithms
Plamen Angelov, Yi Zhang, Jonthan Wright, Victor Hanby, Richard Buswell

Multicriteria Network Design using Evolutionary Algorithms
Rajeev Kumar, Nilanjan Banerjee

ECI Logistics Western Stage House Chair: David Montana

Vishnu: a Scheduling System for Large-scale Logistics Projects
David Montana

ARROW: Combining Evolutionary Algorithms and Other Techniques for Specific Logistics Applications
David Davis

Comparing Tabu Search and Genetic Algorithms for Scheduling
Darrell Whitley

LBP 5 Merchant’s Hotel Chair: Bart Rylander

GA and Random Trees: An Alternative for Solving Stochastic Network Problems
Miguel A. Gomez-Sanchez, Carmen X. Flores-Mendoza, Linda A. Riley

Using Genetic Algorithms to Analyze the Path of an Object in Earth Orbit
Ryuji Goto, Yuji Sato

Fixed Budget Allocation Strategies for Noisy Fitness Landscapes
Adrian Grajdeanu, Kenneth De Jong

Applying Genetic Algorithms to Richardson’s Arms Race Equations to Determine the Stability of Nuclear Deterrence
Tim Hackworth

Integrated Optical Devices Design by Genetic Algorithms
Andreas Hakansson, L. Sanchis, D. Lopez-Zenon, J. Bravo-Abad, Jose Sanchez-Dehesa

The Evolution of 3D Procedural Textures
Adam Hewgill, Brian J. Ross

A Perturbation-Coded Genetic Algorithm for the Minimum Rectilinear Steiner Arborescence Problem
Bryant A. Julstrom

On the Design of an Evolutionary Preprocessor
S. Kazadi, D. Choi, A. Chang, T. Kang, H. Li, D. Kim, S. Ho, J. Wu

AIS Best Paper Nominees Steamboat Hotel Chair: F. L. Nino

Immune Inspired Somatic Contiguous Hypermutation for Function
Johnny Kelsey, Jonathan Timmis

Developing an Immunity to Spam
Terri Oda, Tony White

A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem
Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone

ESR Shakespeare Hotel

A Hybrid Genetic Algorithm Based on Complete Graph Representation for the Sequential Ordering Problem
Dong-Il Seo, Byung-Ro Moon,

An Evolutionary Approach to Capacitated Resource Distribution by a Multiple-agent Team
Mudassar Hussain, Bahram Kimiaghalam, Abdollah Homaifar, Albert Esterline, Bijan Sayyarodsari

An Optimization Solution for Packet Scheduling: A Pipeline-based Genetic Algorithm Accelerator
Shiann-Tsong Sheu, Yue-Ru Chuang, Yu-Hung Chen, Eugene Lai

A Hybrid Genetic Algorithm for the Capacitated Vehicle Routing Problem
Jean Berger, Mohamed Barkaoui

Wednesday July 16, 15:00 – 16:15

GA Techniques 1 Sauganash Ballroom East Chair: A. Wu

Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA)
Felipe Espinoza, Barbara Minsker, David E. Goldberg

Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC
Robert Smith, Claudio Bonacina

Non-stationary Function Optimization using Polygenic Inheritance
Conor Ryan, J.J. Collins, David Wallin

RWA Design & Security Sauganash Ballroom West Chair: Karim Hamza

Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
Ignacio Hidalgo, Francisco Fernandez, J. Lanchares, Juan Manuel Sanchez, Roman Hermida,
Marco Tomassini, Ranieri Baraglia, R. Perego, Oscar Garnica

Simultaneous Assembly Planning and Assembly System Design using Multi-Objective Genetic Algorithms
Karim Hamza, Juan Reyes-Luna, Kazuhiro Saitou

A Linear Genetic Programming Approach to Intrusion Detection
Dong Song, Malcolm Heywood, Nur Zincir-Heywood

ECI Lessons Western Stage House Chair: Lashon Booker

Group discussion of lessons learned in ECI. ALL ECI Participants

LBP 6 Merchant’s Hotel Chair: Bart Rylander

Music Composition using Genetic Algorithms
Yaser M. A. Khalifa, Marco Costa, Josh Ziedner

Genetic Algorithm Optimization of Escape and Normal Swimming Gaits for a
Hydrodynamical Model of Carangiform Locomotion
P.D. Kuo, D. Grierson

Truss Design Optimization Using Genetic Algorithms
Ken Lulay, Bart Rylander

Genetic Algorithm for Optimal Maintenance Planning of Bridge Structures
Hitoshi Furuta, Takahiro Kameda, Koichiro Nakahara, Yuji Takahashi

Structural Topology Optimization Using An Innovative Genetic Algorithm Approach
Martin C. Marshall, Peter A. Robinson

Hybridized Arrival Time Control Approach to JIT Job-Shop Scheduling
Nazrul I. Shaikh, Vittaldas V. Prabhu, Patrick Reed

GA-Based Statistical Model to be Used as an Auxiliary Tool in the Diagnosis of Human Neurocysticercosis
Julio Solano Gonzalez, Jose Manuel de la Cruz Gonzalez, M. Ivan Quintana Hernandez, Ana Lilia Laureano Cruces

Evolving Adaptive Neural Networks with and without Adaptive Synapses
Kenneth O. Stanley, Risto Miikkulainen

AAAA Interactions Steamboat Hotel

On Role of Implicit Interaction and Explicit Communications in Emergence of Social Behavior
Ivan Tanev, Katsunori Shimohara

Sexual Selection of Co-operation
M. Afzal Upal

Optimization Using Particle Swarms with Near Neighbor Interactions
Kalyan Veeramachaneni, Thanmaya Peram, Mohan Chilukuri, Lisa Ann Osadciw

ES/EP Practice Shakespeare Hotel Chair: Jürgen Branke

Solving Distributed Asymmetric Constraint Satisfaction Problems Using an Evolutionary SoHC
Gerry Dozier

Evolution Strategies with Exclusion-based Selection Operators & a Fourier Series Auxiliary Function
Kwong-Sak Leung, Yong Liang

Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization
Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos Coello Coello, Giovanni Lizárraga Lizárraga

Wednesday July 16, 16:45 – 18:00

GA Techniques 2 Sauganash Ballroom East Chair: E. Goodman

Dimensionality Reduction via Genetic Value Clustering
Alexander Topchy, William Punch

An Adaptive Penalty Scheme for Steady-State Genetic Algorithms
Helio Barbosa, Afonso Lemonge

Selection Intensity in Asynchronous Cellular Evolutionary Algorithms
Mario Giacobini, Enrique Alba, Marco Tomassini

RWA Financial & Security Sauganash Ballroom West Chair: Susan Stepney

Daily Stock Prediction Using Neuro-Genetic Hybrids
Yung-Keun Kwon, Byung-Ro Moon

Connection Network and Optimization of Interest Metric for One-to-One Marketing
Sung-Soon Choi, Byung-Ro Moon

Secret Agents Leave Big Footprints
John Clark, Jeremy L. Jacob, Susan Stepney

GA Learning Western Stage House Chair: M. Miki

Building a GA from Design Principles for Learning Bayesian Networks
Steven van Dijk, Dirk Thierens, Linda van der Gaag

A Method for Handling Numerical Attributes in GA-based Inductive Concept Learners
Federico Divina, Maarten Keijzer, Elena Marchiori

Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Flaviu Marginean

LBP 7 Merchant’s Hotel Chair: Bart Rylander

An Adaptive Domination Map Approach for Multi-Allelic Diploid Genetic Algorithms
A. Sima Uyar, A. Emre Harmanci

Constructing Microbial Consortia with Optimal Biomass Production Using a GA
Frederik P.J. Vandecasteele, Thomas F. Hess, Ronald L. Crawford

Meta-heuristics for the Job Shop Scheduling Problem
Mario Ventresca, Beatrice M. Ombuki

Social Programming on MARS: A Benchmark Study
Mark S. Voss

Evolutionary Sentence Building for Chatterbots
Dana Vrajitoru

Integrated Active and Passive Mechatronic System Design Using Bond Graphs and Genetic Programming
Jiachuan Wang, Janis Terpenny

Simulating GA Search in a Dynamic Grid Environment
Han Yu, Ning Jiang, Annie S. Wu

AAAA Applications Steamboat Hotel

Swarms in Dynamic Environments
T. M. Blackwell

AntClust: Ant Clustering and Web Usage Mining
Nicolas Labroche, Nicolas Monmarché, Gilles Venturini

The Effect of Natural Selection on Phylogeny Reconstruction Algorithms
Dehua Hang, Charles Ofria, Thomas M. Schmidt, Eric Torng

Theory Shakespeare Hotel

Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMax
Stefan Droste

Optimization and Information Processing: Modeling and NFL-Results
Dirk Wiesmann

Convergence of Program Fitness Landscapes
William Langdon

ISGEC Membership Application

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Plan to Attend the Next GECCO

Genetic and Evolutionary Computation Conference


GECCO – 2004

Seattle, Washington USA

June 26-30, 2004 (Saturday-Wednesday)

/GECCO-2004

Genetic and Evolutionary Computation Conference


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