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A comprehensive review on water cycle algorithm and its applications

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Abstract

In recent years, significant attentions have been devoted to design of metaheuristic optimization algorithms in order to solve optimization problems. Metaheuristic optimizers are methods which are inspired by observing the phenomena occurring in nature. In this paper, a comprehensive and exhaustive review has been carried out on water cycle algorithm (WCA) and its applications in a wide variety of study fields. The WCA is one of the novel metaheuristic optimization algorithms which is inspired by water cycle process in nature and how streams and rivers flow into the sea. Good exploitation and exploration capabilities have made the WCA a good alternative for solving large-scale optimization problems. Due to its capabilities and strengths, the WCA has been utilized in many and various majors including mechanical engineering, electrical and electronic engineering, civil engineering, industrial engineering, water resources and hydropower engineering, computer engineering, mathematics, and so forth. A variety of articles based on WCA have been published in different international journals such as Elsevier, Springer, IEEE Transactions, Wiley, Taylor & Francis, and in the proceedings of international conferences as well, since 2012 to the present. Thus, it is highly believed that this paper can be appropriate, beneficial and practical for students, academic researchers, professionals, and engineers. Also, it can be an innovative and comprehensive reference for subsequent academic papers and books relevant to the WCA, optimization methods, and metaheuristic optimization algorithms.

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Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1A2B5B03069810).

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Authors and Affiliations

  1. Materials and Energy Research Center, Dezful Branch, Islamic Azad University, Dezful, Iran

    Mohammad Nasir

  2. Department of Mechanical Engineering, University of Science and Culture, Tehran, Iran

    Ali Sadollah

  3. Research Institute for Mega Construction, Korea University, Seoul, Republic of Korea

    Young Hwan Choi

  4. School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, Republic of Korea

    Joong Hoon Kim

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Nasir, M., Sadollah, A., Choi, Y.H. et al. A comprehensive review on water cycle algorithm and its applications. Neural Comput & Applic 32, 17433–17488 (2020). https://doi.org/10.1007/s00521-020-05112-1

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