TY - GEN
T1 - Artificial Neural Networks and Multi Objective Genetic Algorithms for water resources management
T2 - An application to the Hoabinh reservoir in Vietnam
AU - Pianosi, Francesca
AU - Thi, Xuan Quach
AU - Soncini-Sessa, Rodolfo
PY - 2011
Y1 - 2011
N2 - This paper presents a new approach based on the combined use of Artificial Neural Networks (ANN) and a Multi Objective Genetic Algorithm (MOGA) for the integrated management of water system of Hoabinh reservoir in Vietnam, which is currently regulated under the operational rule developed for the ood season only. The optimization problem is first formulated in general terms and major methodological challenges are discussed, then the encouraging simulation results obtained so far over the case study are presented and commented.
AB - This paper presents a new approach based on the combined use of Artificial Neural Networks (ANN) and a Multi Objective Genetic Algorithm (MOGA) for the integrated management of water system of Hoabinh reservoir in Vietnam, which is currently regulated under the operational rule developed for the ood season only. The optimization problem is first formulated in general terms and major methodological challenges are discussed, then the encouraging simulation results obtained so far over the case study are presented and commented.
UR - https://www.scopus.com/pages/publications/84866751140
U2 - 10.3182/20110828-6-IT-1002.02208
DO - 10.3182/20110828-6-IT-1002.02208
M3 - Conference Contribution (Conference Proceeding)
AN - SCOPUS:84866751140
SN - 9783902661937
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 10579
EP - 10584
BT - Proceedings of the 18th IFAC World Congress
PB - IFAC Secretariat
ER -