Genetic algorithms for continuous optimization problems - A concept of parameter-space size adjustment

Aleksandra B. Djurišić, Jovan M. Elazar, A. D. Rakić

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

The concept of parameter-space size adjustment is proposed in order to enable successful application of genetic algorithms to continuous optimization problems. Performance of genetic algorithms with six different combinations of selection and reproduction mechanisms, with and without parameter-space size adjustment, were severely tested on eleven multiminima test functions. An algorithm with the best performance was employed for the determination of the model parameters of the optical constants of Pt, Ni and Cr.

Original languageEnglish
Pages (from-to)7849-7861
Number of pages13
JournalJournal of Physics A: Mathematical and General
Volume30
Issue number22
DOIs
StatePublished - 21 Nov 1997
Externally publishedYes

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