July 12-16, 2003. Chicago, Illinois, USA

Committees
Program Tracks
Best Application papers from the RWA Track will be invited to submit a revised and enhanced version of the paper to the 'Applied Soft Computing' Journal. The papers will be reviewed on a 'fast track' basis. The Journal website: www.elsevier.com/locate/asoc/

Track . Name notes
AAAA A-Life, Adaptive Behavior, Agents, and Ant Colony Optimization, Standish, Russell .
AIS Artificial Immune Systems Dasgupta, Dipankar New this year
Coev Coevolution Kendall, Graham New this year
DMQ DNA, Molecular, and Quantum Computing Jonoska, Natasha Was DNA before, broadened scope
EH Evolvable Hardware Miller, Julian .
ER Evolutionary Robotics Schultz, Alan , Potter, Mitch  
ES/EP Evolution Strategies/Evolutionary Programming Beyer, Hans-Georg .
ESR Evolutionary Scheduling and Routing Downsland, Kathryn A.  
GA Genetic Algorithms Deb, Kalyanmoy .
GP Genetic Programming O'Reilly, Una-May .
LCS Learning Classifier Systems Wilson, Stewart .
RWA Real World Applications Roy, Rajkumar , Davis, David .
SBSE Search Based Software Engineering Harman, Mark , Wegner, Joachim  


AAAA, Alife, Adaptive Behavior, Agents, and Ant Colony Optimization

Standish, Russell

Recent advancements and applications of Artificial life, Adaptive behavior, Agents and Ant Colony Optimization


This special track brings together novel contributions in the closely related areas of Artificial Life, Adaptive Behavior, Agents, and Ant Colony Optimization. From artificial models of biological systems, to the synthesis of "life" on artificial media; from self-organizing, self-replicating, and self-learning structures, to bio-inspired adaptive robots and mobile agents; from collective behaviors and swarm intelligence, to communication, coordination, and collaboration in multi-agent teams/colonies; from organization of agent societies, to applications of ant colony systems in combinatorial optimization -- this area deals with algorithmic, synthetic, empirical, and theoretical advances in artificial systems inspired by evolution, biology, and life.

 
to list


AIS Artificial Immune Systems


Dasgupta, Dipankar

The field of artificial immune systems (AIS) is an emerging area, which explores and employs different immunological mechanisms in order to solve computational problems. This special track will provide a great opportunity for presenting and disseminating latest work in the field of Artificial Immune Systems

more info

 
to list

Coev, Coevolution

Kendall, Graham

The Coevolution Track welcomes papers that include (but are not limited) to the following themes:

Artificial Life
Economics
Game Playing
Game Theory
Negotiation
Neural Networks
Optimization
Robotics
Time Series Prediction


more info
 
to list

DMQ, DNA, Molecular, and Quantum Computing


Jonoska, Natasha

Better understanding of the molecular world is inspiring and making possible new ways to do computing. These range from using DNA and other biological molecules directly for computation to designing algorithms for quantum computers that have not yet been built. This track invites papers about computing at the molecular and quantum level, including (but not limited to) papers on theoretical algorithms and applications, analysis of laboratory techniques and theoretical models, error correction, sequence design, simulation software, DNA chemistry, DNA motifs and DNA devices.

 
to list


EH, Evolvable Hardware

Miller, Julian

Using evolutionary algorithms to design hardware (mechanical systems, electronic circuits, antennas, etc.)

 
to list


ER, Evolutionary Robotics

Schultz, Alan , Potter, Mitch


Automatic design of autonomous robots using evolutionary algorithms.

Overlapping and complementary approaches to using evolutionary algorithms in the areas of robotics have been seen in recent years. In this special program track, we would like to explore some of these approaches, and hopefully better understand their similarities and differences. Topics of interest include, but are not limited to, the use of evolutionary algorithms in: development and design of robots, robotic learning, robotic control, coordination of multiple robots, perception and multi-sensor integration, and testing and evaluation of robotic systems.

 
to list


ES/EP, Evolution Strategies / Evolutionary Programming

Beyer, Hans-Georg

Evolution Strategies usually evolve solutions in the individual's natural problem representation (i.e., there is no standard use of a genotype-phenotype mapping) by application of mutation and recombination operators and truncation selection. Papers in this deme would include theoretical studies of ES (ideally complemented with experiments), improvements and modifications to the algorithms, and applications to benchmarking problems (test function suites, TSP, graph coloring, graph partitioning, etc.)

Evolutionary Programming was originally proposed to work on finite state machines, but has lately expanded to a host of techniques and applications, most of which rely primarilly on mutation operators, often tailored to the problem at hand, to explore the search space. Papers in this deme would include theoretical studies of EP (ideally complemented with experiments), improvements and modifications to the algorithms, and applications to benchmarking problems (test function suites, TSP, graph coloring, graph partitioning, etc.).

 
to list


ER, Evolutionary Robotics

Schultz, Alan , Potter, Mitch


Automatic design of autonomous robots using evolutionary algorithms.

Overlapping and complementary approaches to using evolutionary algorithms in the areas of robotics have been seen in recent years. In this special program track, we would like to explore some of these approaches, and hopefully better understand their similarities and differences. Topics of interest include, but are not limited to, the use of evolutionary algorithms in: development and design of robots, robotic learning, robotic control, coordination of multiple robots, perception and multi-sensor integration, and testing and evaluation of robotic systems.

 
to list


SCH, Evolutionary Scheduling and Routing

Downsland, Kathryn A.

This track is concerned with all aspects of evolutionary and metaheuristic research in scheduling and routing. A particular aim of the track is to consider evolutionary research in the field within the context of research in other meta-heuristics and other approaches from Artificial Intelligence and Operations Research. Specific aims of the track include (but are not limited) to the following themes:

Scheduling Problems and Applications

Meta-heuristic Approaches to Scheduling and Routing Problems

Vehicle Routing

Travelling Salesman and Related Problems

 
to list

GA, Genetic Algorithms

Deb, Kalyanmoy

Genetic algorithms rely heavily on recombination to explore the search space, but generally mutation is also used. Papers in this deme would include theoretical studies of GAs (ideally complemented with experiments), improvements and modifications to the algorithms, and applications to benchmarking problems (test function suites, TSP, graph coloring, graph partitioning, etc.)
 
to list


GP, Genetic Programming

O'Reilly, Una-May

Genetic Programming is the automatic induction of computer programs and other variable-size structures from a high-level statement of a problem through evolutionary algorithms.

 
to list


LCS, Learning Classifier Systems

Wilson, Stewart

Learning classifier systems are adaptive rule-based systems that use an evolutionary algorithm and/or heuristics to search the space of possible rules.

This deme is not about decision trees, neural networks, or other machine learning systems for categorization of data (Although, of course, classifier systems can be use to categorize data, and comparisons and CS-ML hybrids are welcome).

 
to list


RWA, Real World Applications

Davis, David, Roy, Rajkumar
Application of any evolutionary algorithm to problems in the real world (as opposed to benchmarking problems and test function suites). The papers in this deme will be peer-reviewed in the same blind reviewing process of the rest of the conference, and will be published in the conference proceedings that will be distributed commercially by Morgan Kaufmann Publishers. Selected papers of this track will be invited to submit a revised and enhanced version to a special issue of the 'Applied Soft Computing' Journal.

 
to list


SBSE, Search-based Software Engineering

Harman, Mark , Wegner, Joachim

Using evolutionary algorithms and related search techniques to address problems in software engineering.

Goals of the SBSE track are to

use evolutionary algorithms and related search techniques to address problems in software engineering

provide definitions of representations, fitness/cost functions, operators, and search strategies for software engineering problems

develop and extend the emerging community working on Search-Based Software Engineering

introduce researchers in evolutionary computation to problems in software engineering

increase awareness and uptake of evolutionary computation technology within the software engineering community.

Topics of interest include requirements engineering, system and software design, implementation, system and software integration, quality assurance and testing, project management, maintenance, change management, optimisation and transformation as well as development processes.

more info

 
to list
 
 
HOME         Additional Information        Committees       Discounts for ISGEC Members        Evolutionary Computing in Industry        Free Tutorials Planned
        Graduate Student Workshop      Hotel and Local Arrangements         Keynote Speakers        Program Tracks        Registration        Submitting Papers         Workshops

Copyright ©, 2002-2003. GECCO. All rights reserved. USA. Web programming and design: Gerardo Valencia & Gabriela Coronado
Additional Information Committees Discounts for ISGEC members Evolutionary Computing in Industry Free Tutorials Planned Graduate Student Workshop Hotel and Local Arrangements Keynote Speakers Program Tracks Registration Submitting Papers Workshops