Iterated tabu search for the car sequencing problem

Jean-François Cordeau, Gilbert Laporte and Federico Pasin

European Journal of Operational Research, 2008, vol. 191, issue 3, 945-956

Abstract: This paper introduces an iterated tabu search heuristic for the daily car sequencing problem in which a set of cars must be sequenced so as to satisfy requirements from the paint shop and the assembly line. The iterated tabu search heuristic combines a classical tabu search with perturbation operators that help escape from local optima. The resulting heuristic is flexible, easy to implement, and fast. It has produced very good results on a set of test instances provided by the French car manufacturer Renault.

Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:191:y:2008:i:3:p:945-956

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