Solving a multiresponse simulation problem using a dual-response system and scatter search method

Taho Yang, Yiyo Kuo, Pohung Chou

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)


This research solves a multiresponse simulation problem by using a dual-response system and scatter-search method. The proposed dual-response system constructs a response surface for each response. It then transforms the dual-response problem into a standard non-linear programming formulation. The transformation treats the secondary response as a constraint. In addition, the sample variance from simulation replications is considered simultaneously by adding search area constraints to variance. The proposed scatter-search method uses the scatter-search algorithms as an embedded mechanism in a simulation program to guide the solution-search process. This is an iterative process between the scatter-search algorithms and the simulation program. A practical case study is adopted for empirical illustration. Both the proposed methods are efficient and effective in solving the case-study problem. Finally, the paper discusses the advantages and disadvantages of the proposed methods, and suggests future research opportunities.

Original languageEnglish
Pages (from-to)356-369
Number of pages14
JournalSimulation Modelling Practice and Theory
Issue number4
Publication statusPublished - 2005 Jun

All Science Journal Classification (ASJC) codes

  • Software
  • Modelling and Simulation
  • Hardware and Architecture


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