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Artificial Evolution

8th International Conference, Evolution Artificielle, EA 2007 Tours, France, October 29-31, 2007, Revised Selected Papers

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Nicolas Monmarché
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  2. El-Ghazali Talbi
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  3. Pierre Collet
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  4. Marc Schoenauer
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  5. Evelyne Lutton
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4926)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: EA 2007.

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Table of contents (27 papers)

  1. Front Matter

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  2. Genetic Programming

    1. Treating Noisy Data Sets with Relaxed Genetic Programming

      • Luis Da Costa, Jacques-AndrĂ© Landry, Yan Levasseur
      Pages 1-12

    2. Cost-Benefit Investigation of a Genetic-Programming Hyperheuristic

      • Robert E. Keller, Riccardo Poli
      Pages 13-24

    3. Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming

      • Renaud Barate, Antoine Manzanera
      Pages 25-36

    4. Generating SAT Local-Search Heuristics Using a GP Hyper-Heuristic Framework

      • Mohamed Bader-El-Den, Riccardo Poli
      Pages 37-49

  3. Swarm Intelligence

    1. Magnetic Resonance Image Segmentation Based on Two-Dimensional Exponential Entropy and a Parameter Free PSO

      • Amir Nakib, Yann Cooren, Hamouche Oulhadj, Patrick Siarry
      Pages 50-61

    2. Mimetic Variations on Stigmergic Swarm Paintings

      • Paulo Urbano
      Pages 62-72

    3. Minimal and Necessary Conditions for the Emergence of Species-Specific Recognition Patterns

      • Nicolas Brodu
      Pages 73-86

    4. Artificial Ants for the Optimization of Virtual Keyboard Arrangement for Disabled People

      • Sonia Colas, Nicolas MonmarchĂ©, Pierre Gaucher, Mohamed Slimane
      Pages 87-99

  4. Combinational and Multi-objective Optimization

    1. Self-organization and Evolution Combined to Address the Vehicle Routing Problem

      • Jean-Charles CrĂ©put, Abderrafiaâ Koukam
      Pages 100-111

    2. An Evolutionary Algorithm for the Block Stacking Problem

      • Tim Hohm, Matthias Egli, Samuel Gaehwiler, Stefan Bleuler, Jonathan Feller, Damian Frick et al.
      Pages 112-123

    3. A Study of Evaluation Functions for the Graph K-Coloring Problem

      • Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
      Pages 124-135

    4. Genetic Branch-and-Bound or Exact Genetic Algorithm?

      • CĂ©dric Pessan, Jean-Louis Bouquard, Emmanuel NĂ©ron
      Pages 136-147

    5. Aerodynamic Topology Optimisation Using an Implicit Representation and a Multiobjective Genetic Algorithm

      • Windo Hutabarat, Geoffrey T. Parks, Jerome P. Jarrett, William N. Dawes, P. John Clarkson
      Pages 148-159

    6. Direct and Indirect Representations for Evolutionary Design of Objects

      • Juraj Plavcan, Pavel Petrovic
      Pages 160-171

    7. Adaptive and Assortative Mating Scheme for Evolutionary Multi-Objective Algorithms

      • Khoi Le, Dario Landa-Silva
      Pages 172-183

  5. Theory in GA and ES

    1. The Cooperative Royal Road: Avoiding Hitchhiking

      • Gabriela Ochoa, Evelyne Lutton, Edmund Burke
      Pages 184-195

    2. Conditioning, Halting Criteria and Choosing λ

      • Olivier Teytaud
      Pages 196-206

    3. Log-Linear Convergence and Optimal Bounds for the (1 + 1)-ES

      • Mohamed Jebalia, Anne Auger, Pierre Liardet
      Pages 207-218

  6. Applications of EAs

    1. Evolution Strategies for Laser Pulse Compression

      • Riccardo Fanciulli, Lars Willmes, Janne Savolainen, Peter van der Walle, Thomas Bäck, Jennifer L. Herek
      Pages 219-230
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  1. Artificial Evolution

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Artificial Evolution, EA 2007, held in Tours, France in October 2007.

The 27 revised full papers presented were carefully reviewed and selected from 62 submissions during two rounds of reviewing and improvement. The papers cover all aspects of artificial evolution: genetic programming, swarm intelligence, combinatorial and multi-objective optimization, theory in genetic algorithms and evolutionary systems, as well as applications of evolutionary algorithms.

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