A real-integer-discrete-coded particle swarm optimization for design problems

Abstract : The successful application of particle swarm optimization (PSO) to various real-valued problems motivates to develop some integer-coded versions of PSO for working directly with integer and discrete variables of a problem. However, in most of such works, actually a real-valued solution is just converted into a desired integer-valued solution by applying some posterior decoding mechanisms, while some problem-specific integer-coded versions of PSO are proposed in others. In this article, a novel version of PSO of general form is proposed, which can work directly with real, integer and discrete variables of a problem without any conversion. Quite satisfactory performance is obtained by applying the proposed PSO to some classical mechanical design problems of different nature.
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https://hal.inria.fr/inria-00602173
Contributeur : Jose Rui Figueira <>
Soumis le : mardi 21 juin 2011 - 16:42:03
Dernière modification le : mardi 24 avril 2018 - 13:53:28

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José Rui Figueira, Dilip Datta. A real-integer-discrete-coded particle swarm optimization for design problems. Applied Soft Computing, Elsevier, 2011, 11 (4), pp.3625-3633. 〈http://www.sciencedirect.com/science/article/pii/S1568494611000445〉. 〈10.1016/j.asoc.2011.01.034〉. 〈inria-00602173〉

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