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

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...

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Bibliographic Details
Main Authors: Yi Liu, Zhengpeng Tao, Jie Yang, Feng Mao
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/15/4121
Description
Summary: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.
ISSN:2071-1050