Simulation optimization using tabu search: An emperical study

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This paper proposes alternative strategies to perform simulation within a simulation optimization algorithm based on tabu search. These strategies are tested empirically on a stochastic knapsack problem. Results have shown that the way simulation is implemented and the number of simulation replications have a profound effect on the performance of tabu search.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 Winter Simulation Conference
Pages2686-2692
Number of pages7
DOIs
StatePublished - Dec 1 2005
Event2005 Winter Simulation Conference - Orlando, FL, United States
Duration: Dec 4 2005Dec 7 2005

Publication series

NameProceedings - Winter Simulation Conference
Volume2005
ISSN (Print)0891-7736

Other

Other2005 Winter Simulation Conference
CountryUnited States
CityOrlando, FL
Period12/4/0512/7/05

All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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