期刊
ANNALS OF OPERATIONS RESEARCH
卷 156, 期 1, 页码 45-60出版社
SPRINGER
DOI: 10.1007/s10479-007-0228-7
关键词
stochastic optimisation; multicriteria decision-making; simulation; scheduling; performance improvement
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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