Special Topics

  • Carlos A. Coello Coello
  • David A. Van Veldhuizen
  • Gary B. Lamont
Part of the Genetic Algorithms and Evolutionary Computation book series (GENA, volume 5)

Abstract

Evolutionary Algorithms (EAs) are not the only search techniques that have been used to deal with multiobjective optimization problems. In fact, as other search techniques (e.g., tabu search and simulated annealing) have proved to have very good performance in many combinatorial (as well as other types of) optimization problems, it is only natural to think of extensions to such approaches to deal with multiple objectives.

Keywords

Particle Swarm Optimization Simulated Annealing Tabu Search Pareto Front Multiobjective Optimization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Carlos A. Coello Coello
    • 1
  • David A. Van Veldhuizen
    • 2
  • Gary B. Lamont
    • 3
  1. 1.CINVESTAV-IPNMexicoMexico
  2. 2.Air Force Research LaboratoryBrooks Air Force BaseUSA
  3. 3.Air Force Institute of TechnologyDaytonUSA

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