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A Survey of PSO Contributions to Water and Environmental Sciences

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Book cover Computational Intelligence for Water and Environmental Sciences

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1043))

Abstract

Particle Swarm Optimization (PSO) is a nature-inspired optimizer that has attracted a lot of attention since its inception in 1995 due to its ease of application and promising results. The inspiration of PSO is the collaborative swarm behavior of biological populations—a noted computational intelligence technique. There is no doubt that PSO has made outstanding contributions to vast water and environmental science problems in the real world thus far. The standard PSO has been improved many times over the past decades, leading to various hybrid, multi-objective, and improved versions. This chapter aims to present a comprehensive overview of PSO application in solving such problems, initially discussing how PSO works and obtains optimal solution. Subsequently, different versions of PSO are presented followed by their respective contributions to the water and environmental problems. Our survey revealed that PSO has been employed both solely and collaboratively with other approaches like machine learning techniques and simulation software to solve single- and multiple-objective problems of different sectors from surface water to renewable energy generation.

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Authors and Affiliations

  1. Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, 3513119111, Semnan, Iran

    Ahmad Ferdowsi & Sayed-Farhad Mousavi

  2. University of Applied Science and Technology, 1599665111, Tehran, Iran

    Ahmad Ferdowsi

  3. Department of Civil Engineering, Faculty of Engineering, University of Science and Culture, Tehran, Iran

    Seyed Mohamad Hoseini

  4. Faculty of Agricultural Sciences and Food Industries, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Mahtab Faramarzpour

  5. Faculty of Engineering & IT, University of Technology Sydney, Ultimo, NSW, 2007, Australia

    Amir H. Gandomi

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  1. Ahmad Ferdowsi
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  2. Sayed-Farhad Mousavi
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  3. Seyed Mohamad Hoseini
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  4. Mahtab Faramarzpour
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  5. Amir H. Gandomi
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Correspondence to Ahmad Ferdowsi .

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Editors and Affiliations

  1. College of Agriculture & Natural Resources, University of Tehran, Karaj, Alborz, Iran

    Omid Bozorg-Haddad

  2. QUEX Joint-researcher, Centre for Water in the Minerals Industry, Sustainable Minerals Institute, The University of Queensland, Brisbane, QLD, Australia

    Babak Zolghadr-Asli

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Ferdowsi, A., Mousavi, SF., Mohamad Hoseini, S., Faramarzpour, M., Gandomi, A.H. (2022). A Survey of PSO Contributions to Water and Environmental Sciences. In: Bozorg-Haddad, O., Zolghadr-Asli, B. (eds) Computational Intelligence for Water and Environmental Sciences. Studies in Computational Intelligence, vol 1043. Springer, Singapore. https://doi.org/10.1007/978-981-19-2519-1_4

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