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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, K.Y.
    Kwong, C.K.
    Jiang, H.
    Aydin, Mehmet Emin
    Fogarty, T.C.
    Issue Date
    2010-05
    
    Metadata
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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.
    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):3853-3862
    Publisher
    Elsevier
    Journal
    Expert Systems with Applications
    URI
    http://hdl.handle.net/10547/250914
    DOI
    10.1016/j.eswa.2009.11.033
    Additional Links
    http://linkinghub.elsevier.com/retrieve/pii/S0957417409009750
    Type
    Article
    Language
    en
    ISSN
    0957-4174
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.eswa.2009.11.033
    Scopus Count
    Collections
    Centre for Research in Distributed Technologies (CREDIT)

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