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Dynamic Multiobjective Clonal Selection Algorithm for Engineering Design.

Authors :
Batista, Lucas S.
Oliveira, Diogo B.
Guimarães, Frederico G.
Silva, Elson J.
Ramírez, Jaime A.
Source :
IEEE Transactions on Magnetics. Aug2010, Vol. 46, p3033-3036. 4p.
Publication Year :
2010

Abstract

We propose a Multiobjective Clonal Selection Algorithm (MCSA) with dynamic variation of its main parameters for the solution of engineering design problems. The MCSA performs a cloning process using different probability distributions, in which the mutation strengths are guided based on a logarithmic rule and on information implicitly created by a simple differential evolution technique. This feature results in a self-adapting search in the algorithm. The efficiency of the MCSA is studied comparing its performance with the Nondominated Sorting Genetic Algorithm II (NSGA-II) in analytical test problems and also in the design of a microwave heating device. The MCSA has outperformed the NSGA-II in all problems investigated. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189464
Volume :
46
Database :
Academic Search Index
Journal :
IEEE Transactions on Magnetics
Publication Type :
Academic Journal
Accession number :
52810940
Full Text :
https://doi.org/10.1109/TMAG.2010.2044144