Optimization via simulation of catchment basin management using a discrete-event approach

Abstract : This paper deals with discrete-event simulation-based optimization of a catchment basin management. The integration ofoptimization techniques into modeling and simulation relies on the evolution of the studied model using decisions basedon previous simulation results. Three different categories of optimization via simulation methods can be found in the literature:ranking-and-selection methods, discrete and continuous optimization via simulation methods. In this paper, weexplain how an iterative process allows us to integrate continuous optimization via simulation algorithms into a discreteeventsimulation in order to optimize the management of a catchment basin. We have performed a comparison betweenoptimization methods belonging to the three categories of optimization via simulation methods when they are applied tothe management of a catchment basin. An analysis of the comparison allows us to point out the benefits of continuousoptimization via simulation methods compared with rank-and-selection and discrete optimization via simulation methodsin the case of the optimization of a catchment basin management.
Type de document :
Article dans une revue
SIMULATION, SAGE Publications, 2014, pp.16. 〈10.1177/0037549714559608〉
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01092792
Contributeur : Laurent Capocchi <>
Soumis le : mardi 9 décembre 2014 - 14:50:24
Dernière modification le : lundi 21 mars 2016 - 17:31:06

Identifiants

Collections

Citation

J.F. Santucci, Laurent Capocchi. Optimization via simulation of catchment basin management using a discrete-event approach. SIMULATION, SAGE Publications, 2014, pp.16. 〈10.1177/0037549714559608〉. 〈hal-01092792〉

Partager

Métriques

Consultations de la notice

99