Front matter
200
Swarms in Dynamic Environments
T. M. Blackwell
203
The Effect of Natural Selection on Phylogeny Reconstruction Algorithms
Dehua Hang, Charles Ofria, Thomas M. Schmidt and Eric Torng
201
AntClust: Ant Clustering and Web Usage Mining
Nicolas Labroche, Nicolas Monmarché and Gilles Venturini
198
A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization
Xiaodong Li
198
The Influence of Run-Time Limits on Choosing Ant System Parameters
Krzysztof Socha
200
Emergence of Collective Behavior in Evolving Populations of Flying Agents
Lee Spector, Jon Klein, Chris Perry and Mark Feinstein
201
On Role of Implicit Interaction and Explicit Communications in Emergence of Social Behavior in Continuous Predators-Prey Pursuit Problem
Ivan Tanev and Katsunori Shimohara
200
Demonstrating the Evolution of Complex Genetic Representations: An Evolution of Artificial Plants
Marc Toussaint
197
Sexual Selection of Co-operation
M. Afzal Upal
200
Optimization Using Particle Swarms with Near Neighbor Interactions
Kalyan Veeramachaneni, Thanmaya Peram, Chilukuri Mohan and Lisa Ann Osadciw
199
Revisiting Elitism in Ant Colony Optimization
Tony White, Simon Kaegi and Terri Oda
203
A New Approach to Improve Particle Swarm Optimization
Liping Zhang, Huanjun Yu and Shangxu Hu
200
Clustering and Dynamic Data Visualization with Artificial Flying Insect
S. Aupetit, N. Monmarché, M. Slimane, C. Guinot and G. Venturini
201
Ant Colony Programming for Approximation Problems
Mariusz Boryczka, Zbigniew J. Czech and Wojciech Wieczorek
198
Long-Term Competition for Light in Plant Simulation
Claude Lattaud
199
Using Ants to Attack a Classical Cipher
Matthew Russell, John A. Clark and Susan Stepney
200
Comparison of Genetic Algorithm and Particle Swarm Optimizer When Evolving a Recurrent Neural Network
Matthew Settles, Brandon Rodebaugh and Terence Soule
202
Adaptation and Ruggedness in an Evolvability Landscape
Terry Van Belle and David H. Ackley
197
Study Diploid System by a Hamiltonian Cycle Problem Algorithm
Dong Xianghui and Dai Ruwei
197
A Possible Mechanism of Repressing Cheating Mutants in Myxobacteria
Ying Xiao and Winfried Just
201
Tour Jeté, Pirouette: Dance Choreographing by Computers
Tina Yu and Paul Johnson
200
Multiobjective Optimization Using Ideas from the Clonal Selection Principle
Nareli Cruz Cortés and Carlos A. Coello Coello
199
A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem
Vincenzo Cutello, Giuseppe Nicosia and Mario Pavone
201
MILA — Multilevel Immune Learning Algorithm
Dipankar Dasgupta, Senhua Yu and Nivedita Sumi Majumdar
198
The Effect of Binary Matching Rules in Negative Selection
Fabio González, Dipankar Dasgupta and Jonatan Gómez
202
Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation
Johnny Kelsey and Jon Timmis
196
A Scalable Artificial Immune System Model for Dynamic Unsupervised Learning
Olfa Nasraoui, Fabio Gonzalez, Cesar Cardona, Carlos Rojas and Dipankar Dasgupta
204
Developing an Immunity to Spam
Terri Oda and Tony White
204
A Novel Immune Anomaly Detection Technique Based on Negative Selection
F. Niño, D. Gómez and R. Vejar
196
Visualization of Topic Distribution Based on Immune Network Model
Yasufumi Takama
196
Spatial Formal Immune Network
Alexander O. Tarakanov
197
Focusing versus Intransitivity Geometrical Aspects of Co-evolution
Anthony Bucci and Jordan B. Pollack
203
Representation Development from Pareto-Coevolution
Edwin D. de Jong
203
Learning the Ideal Evaluation Function
Edwin D. de Jong and Jordan B. Pollack
203
A Game-Theoretic Memory Mechanism for Coevolution
Sevan G. Ficici and Jordan B. Pollack
202-203
The Paradox of the Plankton: Oscillations and Chaos in Multispecies Evolution
Jeffrey Horn and James Cattron
197
Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA
Thomas Jansen and R. Paul Wiegand
203
PalmPrints: A Novel Co-evolutionary Algorithm for Clustering Finger Images
Nawwaf Kharma, Ching Y. Suen and Pei F. Guo
205
Coevolution and Linear Genetic Programming for Visual Learning
Krzysztof Krawiec and Bir Bhanu
197
Finite Population Models of Co-evolution and Their Application to Haploidy versus Diploidy
Anthony M. L. Liekens, Huub M. M. ten Eikelder and Peter A. J. Hilbers
201
Evolving Keepaway Soccer Players through Task Decomposition
Shimon Whiteson, Nate Kohl, Risto Miikkulainen and Peter Stone
203
A New Method of Multilayer Perceptron Encoding
Emmanuel Blindauer and Jerzy Korczak
201
An Incremental and Non-generational Coevolutionary Algorithm
Ramón Alfonso Palacios-Durazo and Manuel Valenzuela-Rendón
198
Coevolutionary Convergence to Global Optima
Lothar M. Schmitt
198
Generalized Extremal Optimization for Solving Complex Optimal Design Problems
Fabiano Luis de Sousa, Valeri Vlassov and Fernando Manuel Ramos
201
Coevolving Communication and Cooperation for Lattice Formation Tasks
Jekanthan Thangavelautham, Timothy D. Barfoot and Gabriele M. T. D’Eleuterio
202
Efficiency and Reliability of DNA-Based Memories
Max H. Garzon, Andrew Neel and Hui Chen
197
Evolving Hogg’s Quantum Algorithm Using Linear-Tree GP
André Leier and Wolfgang Banzhaf
198
Hybrid Networks of Evolutionary Processors
Carlos Martín-Vide, Victor Mitrana, Mario J. Pérez-Jiménez and Fernando Sancho-Caparrini
197
DNA-Like Genomes for Evolution
in silico
Michael West, Max H. Garzon and Derrel Blain
201
String Binding-Blocking Automata
M. Sakthi Balan
198
On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence
Kuk-Hyun Han and Jong-Hwan Kim
201
Evolutionary Two-Dimensional DNA Sequence Alignment
Edgar E. Vallejo and Fernando Ramos
197
Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware
John C. Gallagher and Saranyan Vigraham
198
Hardware Evolution of Analog Speed Controllers for a DC Motor
David A. Gwaltney and Michael I. Ferguson
197
An Examination of Hypermutation and Random Immigrant Variants of mrCGA for Dynamic Environments
Gregory R. Kramer and John C. Gallagher
200
Inherent Fault Tolerance in Evolved Sorting Networks
Rob Shepherd and James Foster
200
Co-evolving Task-Dependent Visual Morphologies in Predator-Prey Experiments
Gunnar Buason and Tom Ziemke
198
Integration of Genetic Programming and Reinforcement Learning for Real Robots
Shotaro Kamio, Hideyuki Mitsuhashi and Hitoshi Iba
200
Multi-objectivity as a Tool for Constructing Hierarchical Complexity
Jason Teo, Minh Ha Nguyen and Hussein A. Abbass
199
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
Krister Wolff and Peter Nordin
198
An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning
Stefan Elfwing, Eiji Uchibe and Kenji Doya
203
Fractional Order Dynamical Phenomena in a GA
E. J. Solteiro Pires, J. A. Tenreiro Machado and P. B. de Moura Oliveira
204
Dimension-Independent Convergence Rate for Non-isotropic (1, λ) —
ES
Anne Auger, Claude Le Bris and Marc Schoenauer
200
The Steady State Behavior of (
μ/μ
I, λ)-ES on Ellipsoidal Fitness Models Disturbed by Noise
Hans-Georg Beyer and Dirk V. Arnold
199
Theoretical Analysis of Simple Evolution Strategies in Quickly Changing Environments
Jürgen Branke and Wei Wang
202
Evolutionary Computing as a Tool for Grammar Development
Guy De Pauw
203
Solving Distributed Asymmetric Constraint Satisfaction Problems Using an Evolutionary Society of Hill-Climbers
Gerry Dozier
198
Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization
Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello and Giovanni Lizárraga Lizárraga
200
Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function
Kwong-Sak Leung and Yong Liang
203
Ruin and Recreate Principle Based Approach for the Quadratic Assignment Problem
Alfonsas Misevicius
204
Model-Assisted Steady-State Evolution Strategies
Holger Ulmer, Felix Streichert and Andreas Zell
197
On the Optimization of Monotone Polynomials by the (1+1) EA and Randomized Local Search
Ingo Wegener and Carsten Witt
200
A Forest Representation for Evolutionary Algorithms Applied to Network Design
A. C. B. Delbem and Andre de Carvalho
203
Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis
Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff
200
The Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming
Chi-Ho Lee, Ming Yuchi, Hyun Myung and Jong-Hwan Kim
198
A Simple Evolution Strategy to Solve Constrained Optimization Problems
Efrén Mezura-Montes and Carlos A. Coello Coello
197
Effective Search of the Energy Landscape for Protein Folding
Eugene Santos, Keum Joo Kim and Eunice E. Santos
203
A Clustering Based Niching Method for Evolutionary Algorithms
Felix Streichert, Gunnar Stein, Holger Ulmer and Andreas Zell
198
A Hybrid Genetic Algorithm for the Capacitated Vehicle Routing Problem
Jean Berger and Mohamed Barkaoui
202
An Evolutionary Approach to Capacitated Resource Distribution by a Multiple-Agent Team
Mudassar Hussain, Bahram Kimiaghalam, Abdollah Homaifar, Albert Esterline and Bijan Sayyarodsari
197
A Hybrid Genetic Algorithm Based on Complete Graph Representation for the Sequential Ordering Problem
Dong-Il Seo and Byung-Ro Moon
198
An Optimization Solution for Packet Scheduling: A Pipeline-Based Genetic Algorithm Accelerator
Shiann-Tsong Sheu, Yue-Ru Chuang, Yu-Hung Chen and Eugene Lai
200
Generation and Optimization of Train Timetables Using Coevolution
Paavan Mistry and Raymond S. K. Kwan
204
Chromosome Reuse in Genetic Algorithms
Adnan Acan and Yüce Tekol
199
Real-Parameter Genetic Algorithms for Finding Multiple Optimal Solutions in Multi-modal Optimization
Pedro J. Ballester and Jonathan N. Carter
200-201
An Adaptive Penalty Scheme for Steady-State Genetic Algorithms
Helio J. C. Barbosa and Afonso C. C. Lemonge
201
Asynchronous Genetic Algorithms for Heterogeneous Networks Using Coarse-Grained Dataflow
John W. Baugh and Sujay V. Kumar
204
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Abdesselam Bouzerdoum and Rainer Mueller
203
Ant-Based Crossover for Permutation Problems
Jürgen Branke, Christiane Barz and Ivesa Behrens
204
Selection in the Presence of Noise
Jürgen Branke and Christian Schmidt
197
Effective Use of Directional Information in Multi-objective Evolutionary Computation
Martin Brown and Robert E. Smith
205
Pruning Neural Networks with Distribution Estimation Algorithms
Erick Cantú-Paz
201
Are Multiple Runs of Genetic Algorithms Better than One?
Erick Cantú-Paz and David E. Goldberg
201
Constrained Multi-objective Optimization Using Steady State Genetic Algorithms
Deepti Chafekar, Jiang Xuan and Khaled Rasheed
201
An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem
Ying-ping Chen and David E. Goldberg
201-202
Tightness Time for the Linkage Learning Genetic Algorithm
Ying-ping Chen and David E. Goldberg
196
A Hybrid Genetic Algorithm for the Hexagonal Tortoise Problem
Heemahn Choe, Sung-Soon Choi and Byung-Ro Moon
198
Normalization in Genetic Algorithms
Sung-Soon Choi and Byung-Ro Moon
200
Coarse-Graining in Genetic Algorithms: Some Issues and Examples
Andrés Aguilar Contreras, Jonathan E. Rowe and Christopher R. Stephens
198
Building a GA from Design Principles for Learning Bayesian Networks
Steven van Dijk, Dirk Thierens and Linda C. van der Gaag
204
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
Federico Divina, Maarten Keijzer and Elena Marchiori
202
Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMax
Stefan Droste
199
Performance Evaluation and Population Reduction for a Self Adaptive Hybrid Genetic Algorithm (SAHGA)
Felipe P. Espinoza, Barbara S. Minsker and David E. Goldberg
204
Schema Analysis of Average Fitness in Multiplicative Landscape
Hiroshi Furutani
197
On the Treewidth of NK Landscapes
Yong Gao and Joseph Culberson
198
Selection Intensity in Asynchronous Cellular Evolutionary Algorithms
Mario Giacobini, Enrique Alba and Marco Tomassini
199
A Case for Codons in Evolutionary Algorithms
Joshua Gilbert and Maggie Eppstein
198
Natural Coding: A More Efficient Representation for Evolutionary Learning
Raúl Giráldez, Jesús S. Aguilar-Ruiz and José C. Riquelme
198
Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems
Hisashi Handa
199
Efficient Linkage Discovery by Limited Probing
Robert B. Heckendorn and Alden H. Wright
204
Distributed Probabilistic Model-Building Genetic Algorithm
Tomoyuki Hiroyasu, Mitsunori Miki, Masaki Sano, Hisashi Shimosaka and Shigeyoshi Tsutsui, et al.
204
HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework
Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenberg and Erik D. Goodman
203
Using an Immune System Model to Explore Mate Selection in Genetic Algorithms
Chien-Feng Huang
201
Designing a Hybrid Genetic Algorithm for the Linear Ordering Problem
Gaofeng Huang and Andrew Lim
201
A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization
Hisao Ishibuchi and Youhei Shibata
197
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
Hisao Ishibuchi and Takashi Yamamoto
202
Voronoi Diagrams Based Function Identification
Carlos Kavka and Marc Schoenauer
199
New Usage of SOM for Genetic Algorithms
Jung-Hwan Kim and Byung-Ro Moon
198
Problem-Independent Schema Synthesis for Genetic Algorithms
Yong-Hyuk Kim, Yung-Keun Kwon and Byung-Ro Moon
203
Investigation of the Fitness Landscapes and Multi-parent Crossover for Graph Bipartitioning
Yong-Hyuk Kim and Byung-Ro Moon
197
New Usage of Sammon’s Mapping for Genetic Visualization
Yong-Hyuk Kim and Byung-Ro Moon
203
Exploring a Two-Population Genetic Algorithm
Steven Orla Kimbrough, Ming Lu, David Harlan Wood and D. J. Wu
204
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization
Kwong-Sak Leung and Yong Liang
199
Wise Breeding GA via Machine Learning Techniques for Function Optimization
Xavier Llorà and David E. Goldberg
199
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Flaviu Adrian Mărginean
204
Comparing Evolutionary Computation Techniques via Their Representation
Boris Mitavskiy
204
Dispersion-Based Population Initialization
Ronald W. Morrison
204
A Parallel Genetic Algorithm Based on Linkage Identification
Masaharu Munetomo, Naoya Murao and Kiyoshi Akama
202
Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms
Tadahiko Murata, Shiori Kaige and Hisao Ishibuchi
Back matter