Multi-objective tabu search using a multinomial probability mass function

Sadan Kulturel-Konak, Alice E. Smith, Bryan A. Norman

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

A tabu search approach to solve multi-objective combinatorial optimization problems is developed in this paper. This procedure selects an objective to become active for a given iteration with a multinomial probability mass function. The selection step eliminates two major problems of simple multi-objective methods, a priori weighting and scaling of objectives. Comparison of results on an NP-hard combinatorial problem with a previously published multi-objective tabu search approach and with a deterministic version of this approach shows that the multinomial approach is effective, tractable and flexible.

Original languageEnglish
Pages (from-to)918-931
Number of pages14
JournalEuropean Journal of Operational Research
Volume169
Issue number3
DOIs
StatePublished - Mar 16 2006

Keywords

  • Multi-objective combinatorial optimization
  • Tabu search

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