Discrete Optimization via Simulation of Catchment Basin Management Within the DEVSimPy Framework

Abstract : This paper deals with Optimization via Simulation (OvS) of the management of a catchment basin involving dams, electrical power station, pumping station, valves, etc. We explain how an iterative process allows us to integrate optimization algorithms into a discrete-event simulation using a DOvS (Discrete Optimization via Simulation) methodology. This process has been implemented using the DEVSimPy (DEVS simulator in Python language) environment and the obtained results point out the feasibility of the proposed approach. Furthermore this software is actually used by the Corsican Water Agency in order to efficiently manage the South East water network.
Type de document :
Communication dans un congrès
IEEE/ACM Wintersim Conference (WSC), Nov 2013, Washington DC, United States. pp.295-2013, 2013
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01083092
Contributeur : Laurent Capocchi <>
Soumis le : samedi 15 novembre 2014 - 12:39:42
Dernière modification le : lundi 21 mars 2016 - 17:29:37

Identifiants

  • HAL Id : hal-01083092, version 1

Collections

Citation

Laurent Capocchi, Jean François Santucci. Discrete Optimization via Simulation of Catchment Basin Management Within the DEVSimPy Framework. IEEE/ACM Wintersim Conference (WSC), Nov 2013, Washington DC, United States. pp.295-2013, 2013. 〈hal-01083092〉

Partager

Métriques

Consultations de la notice

116