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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



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