A grid-based environment for multiparametric PSE applications: batch plant design case study

Abstract : Complex optimization problems are of high interest for Process Systems Engineering. The selection of the relevant technique for the treatment of a given problem has already been studied for batch plant design issues. Classically, most works reported in the dedicated literature yet considered item sizes as continuous variables. In a view of realism, a similar approach is proposed in this paper, with discrete variables for representing equipment capacities, which leads to a combinatorial problem. For this purpose, a Genetic Algorithm was used, which is multiparametric by nature and a grid approach is perfectly relevant to this case study, since the GA code must be run several times, with different values of some input parameters, to guarantee its stochastic nature. This paper is devoted to the presentation of a grid-oriented GA methodology. Some significant results are highlighted and discussed.
Type de document :
Communication dans un congrès
Springer. VECPAR 2008: 8th International Conference High Performance Computing for Computational Science, Jun 2008, Toulouse, France. Springer, 5336, 2008, LNCS. 〈10.1007/978-3-540-92859-1〉
Liste complète des métadonnées

https://hal.inria.fr/hal-00689952
Contributeur : Ist Rennes <>
Soumis le : vendredi 20 avril 2012 - 15:51:28
Dernière modification le : jeudi 11 janvier 2018 - 06:21:34

Identifiants

Collections

Citation

Antonin Ponsich, Iréa Touche, Catherine Azzaro-Pantel, Serge Domenech, Luc Pibouleau, et al.. A grid-based environment for multiparametric PSE applications: batch plant design case study. Springer. VECPAR 2008: 8th International Conference High Performance Computing for Computational Science, Jun 2008, Toulouse, France. Springer, 5336, 2008, LNCS. 〈10.1007/978-3-540-92859-1〉. 〈hal-00689952〉

Partager

Métriques

Consultations de la notice

147