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The strategies and parameters of tabu search for job-shop scheduling

Journal of Intelligent ManufacturingPublished 8 July 2004
Faruk Geyik, İsmail Hakkı Cedi̇moğlu
Citations72
SJR quartileQ1
SJR score1.76
SNIP2.67

TL;DR

This paper focussed on the tabu search strategies and parameters such as initial solution, neighborhood structure, tabu list, aspiration criterion, elite solutions list, intensification, diversification and the number of iteration for the job-shop scheduling problem.

Abstract

This paper presents a tabu search approach for the job-shop scheduling problem. Although the problem is NP-hard, satisfactory solutions have been obtained recently by tabu search. However, tabu search has a problem-specific and parametric structure. Therefore, in the paper, we focussed on the tabu search strategies and parameters such as initial solution, neighborhood structure, tabu list, aspiration criterion, elite solutions list, intensification, diversification and the number of iteration. In order to compare some neighborhood strategies and tabu list length methods, a computational study is done on the benchmark problems.

Keywords

Computer ScienceEngineering