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

Authors:
Dilip Datta;José Rui Figueira
Affiliations:
Department of Mechanical Engineering, National Institute of Technology-Silchar, Silchar 788 010, India and Associate Member of CEG-IST, Center for Management Studies, Instituto Superior Técni ...;INPL, Ecole des Mines de Nancy, Départment de Génie Industriel, Laboratoire LORIA, Parc de Saurupt CS 14 234, 54 042 Nancy Cedex, France and Associate Member of CEG-IST, Center for Manag ...
Venue:
Applied Soft Computing
Year:
2011

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Abstract

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.