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

ALADAĞ Ç. H., Koeksoy O.

EXPERT SYSTEMS WITH APPLICATIONS, vol.38, no.12, pp.15370-15376, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 12
  • Publication Date: 2011
  • Doi Number: 10.1016/j.eswa.2011.06.026
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.15370-15376
  • Hacettepe University Affiliated: Yes


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. (C) 2011 Elsevier Ltd. All rights reserved.