Research on Water Supply Network Optimization Using Advanced GA

Author

Wan, Shanshan ; Hao, Ying ; Lv, Cheng

Author_Institution

Sch. of Comput. Sci., Beijing Univ. of Civil Eng. & Archit., Beijing, China

Volume

1

fYear

2009

fDate

21-22 May 2009

Firstpage

243

Lastpage

246

Abstract

Model to minimize the objective function of the annual reduced cost with the constraints of hydraulic conditions in annular pipe water supply engineering is given in this paper and the genetic algorithm is applied to the actual question. The quick velocity update strategy of particle swarm optimization algorithm is used to modify the GApsilas evolutionary strategy. The advanced algorithm is tested on engineering projects and compared with basic GA. The good adaptability, validity and stability performance are fully shown by the result.

Keywords

civil engineering computing; genetic algorithms; hydraulic systems; particle swarm optimisation; water supply; annular pipe water supply engineering; evolutionary strategy; genetic algorithm; hydraulic condition; particle swarm optimization; quick velocity update strategy; water supply network optimization; Biological cells; Civil engineering; Computer architecture; Computer science; Cost function; Design optimization; Genetic mutations; Iterative algorithms; Particle swarm optimization; Testing; GA; PSO; evolutionary strategy; optimization design; water supply network;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing Science, 2009. ICIC '09. Second International Conference on

Conference_Location

Manchester

Print_ISBN

978-0-7695-3634-7

Type

conf

DOI

10.1109/ICIC.2009.68

Filename

5169585