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

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  • © 2013

Overview

Editors:
  1. Emilia Tantar

    1. Computer Science and Communications, Research Unit, University of Luxembourg, Luxembourg, Luxembourg

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  2. Alexandru-Adrian Tantar

    1. , Computer Science and Communications, University of Luxembourg, Luxembourg, Luxembourg

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  3. Pascal Bouvry

    1. Computer Science, and Communications, University of Luxembourg, Luxembourg, Luxembourg

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  4. Pierre Del Moral

    1. Bordeaux Mathematical Institute, INRIA Bordeaux-Sud Ouest, Université Bordeaux I, Talence Cedex, France

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  5. Pierrick Legrand

    1. Bâtiment Leyteire, UFR Sciences et Modélisation, Université Bordeaux II, Bordeaux, France

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  6. Carlos A. Coello Coello

    1. , Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico

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  7. Oliver Schütze

    1. , Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico

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  • Builds a bridge between probability, statistics, set oriented
  • Numerics and evolutionary computing
  • Fosters a growing interest for robust and efficient methods with a sound theoretical background
  • Unifies theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors

Part of the book series: Studies in Computational Intelligence (SCI, volume 447)

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Table of contents (12 chapters)

  1. Front Matter

    Pages 1-20
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  2. Foundations, Probability and Evolutionary Computation

    1. Front Matter

      Pages 1-1
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    2. On the Foundations and the Applications of Evolutionary Computing

      • Pierre Del Moral, Alexandru-Adrian Tantar, Emilia Tantar
      Pages 3-89

    3. Incorporating Regular Vines in Estimation of Distribution Algorithms

      • Rogelio Salinas-Gutiérrez, Arturo Hernández-Aguirre, Enrique R. Villa-Diharce
      Pages 91-121

    4. The Gaussian Polytree EDA with Copula Functions and Mutations

      • Ignacio Segovia Domínguez, Arturo Hernández Aguirre, Enrique Villa Diharce
      Pages 123-153

  3. Set Oriented Numerics

    1. Front Matter

      Pages 155-155
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    2. On Quality Indicators for Black-Box Level Set Approximation

      • Michael T. M. Emmerich, André H. Deutz, Johannes W. Kruisselbrink
      Pages 157-185

    3. Set Oriented Methods for the Numerical Treatment of Multiobjective Optimization Problems

      • Oliver Schütze, Katrin Witting, Sina Ober-Blöbaum, Michael Dellnitz
      Pages 187-219

  4. Landscape, Coevolution and Cooperation

    1. Front Matter

      Pages 221-221
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    2. A Complex-Networks View of Hard Combinatorial Search Spaces

      • Marco Tomassini, Fabio Daolio
      Pages 223-245

    3. Cooperative Coevolution for Agrifood Process Modeling

      • Olivier Barrière, Evelyne Lutton, Pierre-Henri Wuillemin, Cédric Baudrit, Mariette Sicard, Nathalie Perrot
      Pages 247-287

    4. Hybridizing cGAs with PSO-like Mutation

      • E. Alba, A. Villagra
      Pages 289-302

  5. Multi-objective Optimization, Heuristic Conversion Algorithms

    1. Front Matter

      Pages 303-303
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    2. On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms

      • Adriana Lara, Oliver Schütze, Carlos A. Coello Coello
      Pages 305-332

    3. On the Integration of Theoretical Single-Objective Scheduling Results for Multi-objective Problems

      • Christian Grimme, Markus Kemmerling, Joachim Lepping
      Pages 333-363

    4. Analysing the Robustness of Multiobjectivisation Approaches Applied to Large Scale Optimisation Problems

      • Carlos Segura, Eduardo Segredo, Coromoto León
      Pages 365-391

    5. A Comparative Study of Heuristic Conversion Algorithms, Genetic Programming and Return Predictability on the German Market

      • Esther Mohr, Günter Schmidt, Sebastian Jansen
      Pages 393-414
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Keywords

About this book

The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation.

The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background.

The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set the basis for a unified view and vocabulary where theoretical advancements may echo in different domains.

Reviews

From the book reviews:

“The book collects 12 papers and presents those in chapter form. All papers are thoroughly refereed. … The papers are well structured and consistent in style and presentation. … this book has an impressive collection of research papers on useful and interesting transdisciplinary topics. I can safely conclude that researchers looking to learn more in this area of research could benefit from this book.” (S. E. Ahmed, Technometrics, Vol. 56 (1), February, 2014)

Editors and Affiliations

  • Computer Science and Communications, Research Unit, University of Luxembourg, Luxembourg, Luxembourg

    Emilia Tantar

  • , Computer Science and Communications, University of Luxembourg, Luxembourg, Luxembourg

    Alexandru-Adrian Tantar

  • Computer Science, and Communications, University of Luxembourg, Luxembourg, Luxembourg

    Pascal Bouvry

  • Bordeaux Mathematical Institute, INRIA Bordeaux-Sud Ouest, Université Bordeaux I, Talence Cedex, France

    Pierre Del Moral

  • Bâtiment Leyteire, UFR Sciences et Modélisation, Université Bordeaux II, Bordeaux, France

    Pierrick Legrand

  • , Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico

    Carlos A. Coello Coello, Oliver Schütze

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