The Modified Artificial Fish Swarm Algorithm for Least-Cost Planning of a Regional Water Supply Network Problem

Yi Liu, Zhengpeng Tao, Jie Yang and Feng Mao
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Yi Liu: Management School, Hangzhou Dianzi University, Hangzhou 310018, China
Zhengpeng Tao: Management School, Hangzhou Dianzi University, Hangzhou 310018, China
Jie Yang: Management School, Hangzhou Dianzi University, Hangzhou 310018, China
Feng Mao: Management School, Hangzhou Dianzi University, Hangzhou 310018, China

Sustainability, 2019, vol. 11, issue 15, 1-12

Abstract: A regional water supply network (RWSN) plays a key role in the process of urbanization development. This paper researches the planning optimization model of a regional water supply network with the payoff characteristic between economical cost and reliability, in which the hydraulic-connectivity is selected as the surrogate measure of the reliability in the regional water supply network. The modified artificial fish swarm algorithm (MAFSA) is proposed to solve the optimization problem by adjusting research visual and the inertia weights of artificial fish swarm algorithm (AFSA) according to the hydraulic-connectivity. The experiment results of regional water supply network show that MAFSA can effectively obtain the optimal solution with the maximum reliability and least cost compared to other algorithms, which can thereby achieve the optimization of RWSN engineering applications.

Keywords: artificial fish swarm algorithm; dynamic network optimization; hydraulic calculation; least-cost planning; regional water supply systems (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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