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

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  • Yi Liu

    (Management School, Hangzhou Dianzi University, Hangzhou 310018, China
    The Research Center of Information Technology & Economic and Social Development, 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)

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.

Suggested Citation

  • Yi Liu & Zhengpeng Tao & Jie Yang & Feng Mao, 2019. "The Modified Artificial Fish Swarm Algorithm for Least-Cost Planning of a Regional Water Supply Network Problem," Sustainability, MDPI, vol. 11(15), pages 1-12, July.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4121-:d:253137
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    References listed on IDEAS

    as
    1. Milan Cisty, 2010. "Hybrid Genetic Algorithm and Linear Programming Method for Least-Cost Design of Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(1), pages 1-24, January.
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    Cited by:

    1. Shifan Deng & Siyu Ma & Xiaowen Zhang & Shiqiang Zhang, 2020. "Integrated Detection of a Complex Underground Water Supply Pipeline System in an Old Urban Community in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.

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