Multicriteria optimisation and simulation: an industrial application |
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Authors: | D. Duvivier O. Roux V. Dhaevers N. Meskens A. Artiba |
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Affiliation: | (1) L.I.L., Université du Littoral Cote d’opale, 50 Rue Ferdinand Buisson, BP 719, 62228 Calais Cedex, France;(2) Catholic University of Mons, Mons, Belgium;(3) E.T.S., Montréal, Canada |
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Abstract: | This paper deals with multicriteria discrete-continuous problems of scheduling nonpreemptable jobs. The need for reusability and modularity leads us to build a “generic” optimisation and simulation framework, while the need to quickly generate good compromises between conflicting objectives requires the implementation of multicriteria scheduling models. This paper describes the practical possibilities of three hybrid models within this framework. The validation of the framework is presented in terms of its application to a real, highly constrained, discrete-continuous problem. The optimisation model is based on the hybridisation of a classical hill-climber meta-heuristic with the Promethee II multicriteria method. |
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Keywords: | Stochastic optimisation Multicriteria decision-making Simulation Scheduling Performance improvement |
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