Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21828
Title: A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design
Authors: Chan, KY
Kwong, CK 
Jiang, H
Aydin, ME
Fogarty, TC
Keywords: Car door design
Crossover
Evolutionary algorithms
Interactions between genes
Orthogonal array
Issue Date: 2010
Publisher: Pergamon-Elsevier Science Ltd
Source: Expert systems with applications, 2010, v. 37, no. 5, p. 3853-3862 How to cite?
Journal: Expert Systems with Applications 
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.
URI: http://hdl.handle.net/10397/21828
DOI: 10.1016/j.eswa.2009.11.033
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

22
Last Week
0
Last month
1
Citations as of Apr 29, 2017

WEB OF SCIENCETM
Citations

20
Last Week
0
Last month
1
Citations as of Apr 27, 2017

Page view(s)

25
Last Week
7
Last month
Checked on Apr 23, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.