David Duvivier

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This paper deals with discrete-continuous problems of planning and scheduling nonpreemptable jobs. The need of reusability and modularity leads us to build a " generic " simulation and optimization framework, which is described in this contribution. The validation of our platform is presented in terms of an application to a real highly constrained(More)
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.(More)
Maintenance problems are crucial aspect of nowadays industrial problems. However, the quest of the efficient periodicity of maintenance for all components of a system is far from an easy task to accomplish when considering all the antagonistic criteria of the maintenance and production views of a production system. Thus, the objective is to simultaneously(More)
  • D Duvivier, C Preux, D Fonlupt, Robilliard, E-G Talbi
  • 1998
| The tness function is generally deened rather straightforwardly in evolutionary algorithms (EA): it is simply the value of the function to optimize. In this paper, we argue and show that embedding more information in the tness function leads to a sig-niicant improvement of the quality of the local optima that are reached. The technique is developed here(More)