Book Volume 5975 2010

Artifical Evolution

9th International Conference, Evolution Artificielle, EA, 2009, Strasbourg, France, October 26-28, 2009. Revised Selected Papers

ISBN: 978-3-642-14155-3 (Print) 978-3-642-14156-0 (Online)

Table of contents (17 chapters)

  1. Front Matter

    Pages -

  2. Theory

    1. Chapter

      Pages 1-12

      Extremal Optimization Dynamics in Neutral Landscapes: The Royal Road Case

    2. Chapter

      Pages 13-24

      Improving the Scalability of EA Techniques: A Case Study in Clustering

  3. Ant Colony Optimization

    1. Chapter

      Pages 25-36

      MC-ANT: A Multi-Colony Ant Algorithm

  4. Applications

    1. Chapter

      Pages 37-48

      Artificial Evolution for 3D PET Reconstruction

    2. Chapter

      Pages 49-60

      A Hybrid Genetic Algorithm/Variable Neighborhood Search Approach to Maximizing Residual Bandwidth of Links for Route Planning

    3. Chapter

      Pages 61-73

      Parallelization of an Evolutionary Algorithm on a Platform with Multi-core Processors

    4. Chapter

      Pages 74-85

      On the Difficulty of Inferring Gene Regulatory Networks: A Study of the Fitness Landscape Generated by Relative Squared Error

  5. Combinatorial Optimization

    1. Chapter

      Pages 86-97

      Memetic Algorithms for Constructing Binary Covering Arrays of Strength Three

    2. Chapter

      Pages 98-109

      A Priori Knowledge Integration in Evolutionary Optimization

  6. Robotics

    1. Chapter

      Pages 110-121

      On-Line, On-Board Evolution of Robot Controllers

    2. Chapter

      Pages 122-133

      The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms

  7. Multi-objective Optimization

    1. Chapter

      Pages 134-145

      An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP

    2. Chapter

      Pages 146-157

      Alternative Fitness Assignment Methods for Many-Objective Optimization Problems

  8. Genetic Programming

    1. Chapter

      Pages 158-169

      Evolving Efficient List Search Algorithms

    2. Chapter

      Pages 170-181

      Semantic Similarity Based Crossover in GP: The Case for Real-Valued Function Regression

    3. Chapter

      Pages 182-193

      Genetic-Programming Based Prediction of Data Compression Saving

  9. Machine Learning

    1. Chapter

      Pages 194-205

      On the Characteristics of Sequential Decision Problems and Their Impact on Evolutionary Computation and Reinforcement Learning

  10. Back Matter

    Pages -