Title :
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
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;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.68
