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A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design

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Authors
Chan, Kit Yan
Kwong, C.
Jiang, H.
Aydin, Mehmet
Fogarty, T.
Date
2010
Type
Journal Article

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Chan, Kit and Kwong, Che and Jiang, H and Aydin, Mehmet and Fogarty, Terence. 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): pp. 3853-3862.
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Expert Systems with Applications
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Digital Ecosystems and Business Intelligence Institute (DEBII)
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NOTICE: this is the author’s version of a work that was accepted forpublication in Expert Systems with Applications. Changes resultingfrom the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Expert Systems with Applications, Vol. 37, no. 5 (2010) http://dx.doi.org/10.1016/j.eswa.2009.11.033

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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.