7. Solving Constrained Optimization Problems with Hybrid Evolutionary Algorithms

  1. Enrique Alba1,
  2. Christian Blum2,
  3. Pedro Isasi3,
  4. Coromoto León4 and
  5. Juan Antonio Gómez5
  1. C. Cotta and
  2. A. J. Fernández

Published Online: 16 MAY 2008

DOI: 10.1002/9780470411353.ch7

Optimization Techniques for Solving Complex Problems

Optimization Techniques for Solving Complex Problems

How to Cite

Cotta, C. and Fernández, A. J. (2009) Solving Constrained Optimization Problems with Hybrid Evolutionary Algorithms, in Optimization Techniques for Solving Complex Problems (eds E. Alba, C. Blum, P. Isasi, C. León and J. A. Gómez), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470411353.ch7

Editor Information

  1. 1

    Universidad de Málaga, Dpto. de Lenguajes y Ciencias de la Computación, Málaga, Spain

  2. 2

    Universitat Politècnica de Catalunya, Dpto. de Llenguatges i Sistemes Informàtics, Barcelona, Spain

  3. 3

    Universidad Carlos III de Madrid, Dpto. de Informática, Escuela Politécnica Superior, Madrid, Spain

  4. 4

    Universidad de La Laguna, Dpto. de Estadística, I.O. y Computación, La Laguna, Spain

  5. 5

    Universidad de Extremadura, Dpto. de Tecnologías de Computadores y Comunicaciones, Escuela Politécnica, Cáceres, Spain

Author Information

  1. Universidad de Málaga, Dpto. de Lenguajes y Ciencias de la Computación, Málaga, Spain

Publication History

  1. Published Online: 16 MAY 2008
  2. Published Print: 6 FEB 2009

Book Series:

  1. Wiley Series on Parallel and Distributed Computing

Book Series Editors:

  1. Albert Y. Zomaya

ISBN Information

Print ISBN: 9780470293324

Online ISBN: 9780470411353

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Keywords:

  • hybrid evolutionary algorithm (HEA);
  • social golfer problem;
  • constrained combinatorial optimization problem (CCOP)

Summary

This chapter contains sections titled:

  • Introduction

  • Strategies for Solving CCOPs with HEAs

  • Study Cases

  • Conclusions

  • References