Parallel Approaches for Multiobjective Optimization

  • Authors:
  • El-Ghazali Talbi;Sanaz Mostaghim;Tatsuya Okabe;Hisao Ishibuchi;Günter Rudolph;Carlos A. Coello Coello

  • Affiliations:
  • Laboratoire d'Informatique Fondamentale de Lille, Université des Sciences et Technologies de Lille, Villeneuve d'Ascq cedex, France 59655;Institute AIFB, University of Karlsruhe, Karlsruhe, Germany 76128;Honda Research Institute Japan Co., Ltd., Wako-City, Saitama, Japan 351-0188;Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka, Japan 599-8531;Computational Intelligence Research Group Chair of Algorithm Engineering (LS XI) Department of Computer Science, University of Dortmund, Dortmund, Germany 44227;CINVESTAV-IPN (Evolutionary Computation Group) Depto. de Computación, Av. IPN No 2508, Col. San Pedro Zacatenco, México, D.F., Mexico 07360

  • Venue:
  • Multiobjective Optimization
  • Year:
  • 2008

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Abstract

This chapter presents a general overview of parallel approaches for multiobjective optimization. For this purpose, we propose a taxonomy for parallel metaheuristics and exact methods. This chapter covers the design aspect of the algorithms as well as the implementation aspects on different parallel and distributed architectures.