Genetic and Evolutionary Computational Conference GECCO-2003

June 26-30, 2004. Seattle, Washington, USA
Evolutionary Computation in Industry Free Tutorials Planned Graduate Student Workshop Hotel and Local Arrangements Keynote Speakers Program Tracks Registration Submitting Papers Discounts for ISGEC members Committees Additional Information Call for LBP Workshops Competitions
The following papers were nominated for consideration by the conference for a Best at GECCO prize.
EvRob Robot Trajectory Planner using Multi-Objective Genetic Eduardo Pires, MachadoJos‚ Paulo Oliveira
EvRob Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network Rainer Paine, Jun Tani
ES Actuator Noise in Recombinant Evolution Strategies on General Quadratic Fitness Models Hans-Georg Beyer
ES An Analysis of the ($\mu$+1)~EA on Simple Pseudo-Boolean Functions Carsten Witt
ES On the Choice of the Population Size Tobias Storch
LCS Gradient-based Learning Updates Improve XCS Performance in Multistep Problems Martin Butz, David Goldberg, Pier Luca Lanzi
LCS High classification accuracy does not imply effective genetic search Tim Kovacs, Manfred Kerber
LCS Mixed Decision Trees: Minimizing Knowledge Representation Bias in LCS Xavier Llora, Stewart Wilson
BioApp Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics Marylyn Ritchie, Christopher Coffey, Jason Moore
BioApp Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models Praveen Koduru, Sanjoy Das, Stephen Welch, Judith L. Roe
SBSE Evaluating Evolutionary Testability with Software-Measurements Frank Lammermann, Andre Baresel, Joachim Wegener
SBSE Hybridizing Evolutionary Testing with the Chaining Approach Phil McMinn, Mike Holcombe
AIS Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using Evolutionary Hackers Gerry Dozier, Douglas Brown, Krystal Cain,John Hurley
GP pi Grammatical Evolution Michael O'Neill, Anthony Brabazon, Miguel Nicolau, Sean Mc Garraghy, Peter Keenan
GP Evolving Caching Strategies for the Internet Juergen Branke, Pablo Funes, Frederik Thiele
GP A Descriptive Encoding Language for Evolving Modular Neural Networks Jae-Yoon Jung, James A. Reggia
GP Shortcomings with Tree-structured Edge Encodings for Neural Networks Gregory Hornby
GP Evolving Quantum Circuits and Programs through Genetic Programming Paul Massey, John Clark, Susan Stepney
AAAA Adaptive and Evolvable Network Services Tadashi Nakano, Tatsuya Suda
AAAA Using Clustering Techniques to Improve the Performance of a Multi-Objective Particle Swarm Optimizer Gregorio Toscano Pulido, Carlos Coello Coello
AAAA An Interactive Artificial Ant Approach to Non-Photorealistic Rendering Yann Semet, Una-May O'Reilly, Fredo Durand
RWA A Broad and Narrow Approach to Interactive Evolutionary Design - An Aircraft Design Example Oliver Bandte, Sergey Malinchik
RWA Evolutionary Drug Scheduling Model for Cancer Chemotherapy Liang Yong, Leung Kwong-Sak, Mok Shu Kam Tony
RWA An Enhanced Genetic Algorithm for DNA Sequencing with Positive and Negative Errors Thang Bui, Waleed Youssef,
RWA Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling Lionel Elliott, Derek Ingham, Adrian Kyne, Nicolae Mera,Mohamed Pourkashanian , Sean Whittaker
Coevol Automated Extraction of Problem Structure Anthony Bucci, Jordan Pollack, Edwin de Jong
Coevol Similarities between Co-Evolution and Learning Classifier Systems and their Applications Ramon Palacios-Durazo, Manuel Valenzuela-Rendón
GA Feature subset selection class separability and genetic algorithms Erick Cantu-Paz
GA What Basis for Genetic Dynamics? Chris Stephens, Chryssomalis Chryssomalakos
GA Dependency Structure Matrix Analysis Tian-Li Yu, David Goldberg
GA Distributed Constraint Satisfaction Restricted Recombination and Hybrid Genetic Search Gerry Dozier, Hurley Cunningham, Winard Britt, Funing Zhang, Winard Britt, Funing Zhang
GA Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization Hisao Ishibuchi, Yohei Shibata
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