A tabu search meta-heuristic approach to the dual response systems problem

This paper presents an alternative approach to the dual response systems problem by utilizing a tabu search algorithm that yields a string of solutions and examine the trade-offs graphically and systematically how the controllable variables simultaneously impact the mean and the standard deviation o...

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Bibliographic Details
Published in:Expert systems with applications 2011-11, Vol.38 (12), p.15370-15376
Main Authors: Aladag, Cagdas Hakan, Köksoy, Onur
Format: Article
Language:English
Subjects:
Expert systems
Heuristic methods
Interactive
Optimization
Pareto optimization
Quality improvement
Robust design
Standard deviation
Strings
Tabu search
Tradeoffs
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Summary:This paper presents an alternative approach to the dual response systems problem by utilizing a tabu search algorithm that yields a string of solutions and examine the trade-offs graphically and systematically how the controllable variables simultaneously impact the mean and the standard deviation of a characteristic of interest relevant to an industrial process. Heuristic-based search techniques may be very useful for cases where interactive multi-objective optimization techniques are not available due to lack of willingness of decision-makers. A further advantage of tabu search is its simplicity and we show that the entire process only occupies a few lines of codes and generates string of solutions in speedy manner especially for the larger-the-better/smaller-the-better cases of Taguchi’s robust parameter design. The procedure is illustrated with an example.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2011.06.026