Comparison of different tabu search operators on a highly constrained industrial problem
by David Duvivier, Olivier Roux, Arnauld Hanset
International Journal of Advanced Operations Management (IJAOM), Vol. 1, No. 4, 2009

Abstract: In the context of limited time decision making, this paper presents the results of a tabu search method applied to a discrete-continuous highly constrained industrial scheduling problem. The aim of this work is to generate the most suitable scheduling strategy according to the decision makers' preferences. In order to achieve this goal, a framework has been implemented to schedule the products thanks to several optimisation and simulation methods. The schedules are iteratively enhanced via a hybrid method composed of a meta-heuristic and a simulation model. This paper describes more precisely the results obtained with several operators embedded in a tabu search method. On the basis of several performance criteria, the presented study compares and ranks several scheduling strategies via a lexicographical sort.

Online publication date: Wed, 27-Jan-2010

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