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Water Distribution System Optimization Using Genetic Simulated Annealing Algorithm.

Authors :
Shu, Shihu.
Source :
Intelligent Computing & Information Science (9783642181337); 2011, p656-661, 6p
Publication Year :
2011

Abstract

Water supply system optimization makes use of the latest advances in hybrid genetic algorithm to automatically determine the least-cost pump operation for each pump station in large-scale water distribution system while satisfying simplified hydraulic performance requirements. Calibration results of the original model were pretty good. The comparison results show that the difference between the simplified and the original mode simulation of nodal pressure and pipe flow was less than 5%. The precision of the simplified model could satisfy the requirement for pump operation optimization. When the simplified model was used instead of the microscopic model, the calculation time of optimal control model was greatly saved, but the precision was basically the same. The results of optimal control model for the water distribution system in City S showed that the simplified model for optimal control had remarkable advantage cause the calculation time of optimal control model was greatly saved, but the precision was basically same. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783642181337
Database :
Complementary Index
Journal :
Intelligent Computing & Information Science (9783642181337)
Publication Type :
Book
Accession number :
76796713
Full Text :
https://doi.org/10.1007/978-3-642-18134-4_104