EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II

  • Oliver Schütze
  • Carlos A. Coello Coello
  • Alexandru-Adrian Tantar
  • Emilia Tantar
  • Pascal Bouvry
  • Pierre Del Moral
  • Pierrick Legrand
Conference proceedings

DOI: 10.1007/978-3-642-31519-0

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 175)

Table of contents

  1. Front Matter
    Pages 1-21
  2. Cell Mapping and Quasi-stationary Distributions

    1. Front Matter
      Pages 1-1
  3. Cell Mapping and Quasi-Stationary Distributions

  4. Genetic Programming

    1. Front Matter
      Pages 39-39
    2. Edgar Galvan, Leonardo Trujillo, James McDermott, Ahmed Kattan
      Pages 41-56
    3. Arturo Sotelo, Enrique Guijarro, Leonardo Trujillo, Luis Coria, Yuliana Martínez
      Pages 57-70
    4. Enrique Naredo, Enrique Dunn, Leonardo Trujillo
      Pages 71-86
  5. Evolutionary Multi-objective Optimization

    1. Front Matter
      Pages 87-87
  6. EvolutionaryMulti-objective Optimization

    1. Heike Trautmann, Günter Rudolph, Christian Dominguez-Medina, Oliver Schütze
      Pages 89-105
    2. Shaul Salomon, Gideon Avigad, Alex Goldvard, Oliver Schütze
      Pages 137-151
    3. Adriana Lara, Sergio Alvarado, Shaul Salomon, Gideon Avigad, Carlos A. Coello Coello, Oliver Schütze
      Pages 153-168
  7. Combinatorial Optimization

    1. Front Matter
      Pages 169-169
    2. Broderick Crawford, Carlos Castro, Eric Monfroy, Ricardo Soto, Wenceslao Palma, Fernando Paredes
      Pages 171-188
    3. Jean-Michel Richer, Eduardo Rodriguez-Tello, Karla E. Vazquez-Ortiz
      Pages 189-203
  8. Probabilistic Modeling and Optimization for Emerging Networks

    1. Front Matter
      Pages 205-205
    2. Thomas Schaberreiter, Pascal Bouvry, Juha Röning, Djamel Khadraoui
      Pages 207-218
  9. Hybrid Probabilistic Models for Real Parameter Optimization and Their Applications

    1. Front Matter
      Pages 219-219

About these proceedings

Introduction

This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects.
The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements
may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability,  performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal. 

Keywords

Evolutionary Computation Intelligent Computing Probability Set Oriented Numerics

Editors and affiliations

  • Oliver Schütze
    • 1
  • Carlos A. Coello Coello
    • 2
  • Alexandru-Adrian Tantar
    • 3
  • Emilia Tantar
    • 4
  • Pascal Bouvry
    • 5
  • Pierre Del Moral
    • 6
  • Pierrick Legrand
    • 7
  1. 1., Computer Science DepartmentCINVESTAV-IPNMexico CityMexico
  2. 2., Computer Science DepartmentCINVESTAV-IPNMexico CityMexico
  3. 3., Computer Science and CommunicationsUniversity of LuxembourgLuxembourgLuxembourg
  4. 4.Computer Science and Communications, Research UnitUniversity of LuxembourgLuxembourgLuxembourg
  5. 5.Computer Science, and CommunicationsUniversity of LuxembourgLuxembourgLuxembourg
  6. 6.Bordeaux Mathematical Institute, INRIA Bordeaux-Sud OuestUniversité Bordeaux ITalence CedexFrance
  7. 7.Bâtiment Leyteire, UFR Sciences et ModélisationUniversité Bordeaux IIBordeauxFrance

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-31518-3
  • Online ISBN 978-3-642-31519-0
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365