DocumentCode
352950
Title
ANNs and GAs for predictive control of water supply networks
Author
Damas, M. ; Salmerón, M. ; Ortega, J.
Author_Institution
Dept. de Arquitectura y Tecnologia de Computadores, Granada Univ., Spain
Volume
4
fYear
2000
fDate
2000
Firstpage
365
Abstract
This paper describes a procedure for controlling the water supply system. The controller uses a neural network to predict the water demand levels and a genetic algorithm to determine the feasible operation points in an optimal strategy that is based on dynamic programming. The controller has been executed in parallel in a cluster of computers. This has allowed not only the determination of the control commands in the required times but also the improvement of the control procedure performances
Keywords
dynamic programming; forecasting theory; genetic algorithms; neural nets; predictive control; water supply; dynamic programming; genetic algorithm; neural network; optimisation; predictive control; water supply networks; Artificial neural networks; Computer networks; Concurrent computing; Control systems; Dynamic programming; Genetic algorithms; Neural networks; Optimal control; Reservoirs; Valves;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.860799
Filename
860799
Link To Document