Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24780
Title: Improved orthogonal array based simulated annealing for design optimization
Authors: Chan, KY
Kwong, CK 
Luo, XG
Keywords: Design optimization
Interaction analysis
Neighbourhood functions
Orthogonal array
Simulated annealing
Issue Date: 2009
Publisher: Pergamon Press
Source: Expert systems with applications, 2009, v. 36, no. 4, p. 7379-7389 How to cite?
Journal: Expert systems with applications 
Abstract: Recent research shows that simulated annealing with orthogonal array based neighbourhood functions can help in the search for a solution to a parametrical problem which is closer to an optimum when compared with conventional simulated annealing. Previous studies of simulated annealing analyzed only the main effects of variables of parametrical problems. In fact, both main effects of variables and interactions between variables should be considered, since interactions between variables exist in many parametrical problems. In this paper, an improved orthogonal array based neighbourhood function (IONF) for simulated annealing with the consideration of interaction effects between variables is described. After solving a set of parametrical benchmark function problems where interaction effects between variables exist, results of the benchmark tests show that the proposed simulated annealing algorithm with the IONF outperforms significantly both the simulated annealing algorithms with the existing orthogonal array based neighbourhood functions and the standard neighbourhood functions. Finally, the improved orthogonal array based simulated annealing was applied on the optimization of emulsified dynamite packing-machine design by which the applicability of the algorithm in real world problems can be evaluated and its effectiveness can be further validated.
URI: http://hdl.handle.net/10397/24780
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2008.09.022
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