A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design
Name:
Publisher version
View Source
Access full-text PDFOpen Access
View Source
Check access options
Check access options
Abstract
Recent research shows that orthogonal array based crossovers outperform standard and existing crossovers in evolutionary algorithms in solving parametrical problems with high dimensions and multi-optima. However, those crossovers employed so far, ignore the consideration of interactions between genes. In this paper, we propose a method to improve the existing orthogonal array based crossovers by integrating information of interactions between genes. It is empirically shown that the proposed orthogonal array based crossover outperforms significantly both the existing orthogonal array based crossovers and standard crossovers on solving parametrical benchmark functions that interactions exist between variables. To further compare the proposed orthogonal array based crossover with the existing crossovers in evolutionary algorithms, a validation test based on car door design is used in which the effectiveness of the proposed orthogonal array based crossover is studied.Citation
Chan, K.Y. et al (2010) 'A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design' Expert Systems with Applications 37 (5):3853-3862Publisher
ElsevierJournal
Expert Systems with ApplicationsAdditional Links
http://linkinghub.elsevier.com/retrieve/pii/S0957417409009750Type
ArticleLanguage
enISSN
0957-4174ae974a485f413a2113503eed53cd6c53
10.1016/j.eswa.2009.11.033