Dynamic Multiobjective Clonal Selection Algorithm for Engineering Design

Author

Batista, Lucas S. ; Oliveira, Diogo B. ; Guimarã, Frederico G. ; Silva, Elson J. ; Ramí, Jaime A.

Author_Institution

Dept. de Eng. Eletr., Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil

Volume

46

Issue

8

fYear

2010

Firstpage

3033

Lastpage

3036

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.

Keywords

design engineering; evolutionary computation; microwave heating; search problems; statistical distributions; differential evolution technique; dynamic multiobjective clonal selection algorithm; dynamic variation; engineering design problem; logarithmic rule; microwave heating device design; mutation strength; probability distribution; self-adapting search; Algorithm design and analysis; Cloning; Design engineering; Genetic algorithms; Genetic mutations; Heuristic algorithms; Performance analysis; Probability distribution; Sorting; Testing; Multiobjective optimization; clonal selection algorithm; self-adaptation;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2010.2044144

Filename

5512869