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Cited 2 time in webofscience Cited 3 time in scopus
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A comprehensive review on water cycle algorithm and its applications

Authors
Nasir, MohammadSadollah, AliChoi, Young HwanKim, Joong Hoon
Issue Date
Dec-2020
Publisher
SPRINGER LONDON LTD
Keywords
Water cycle algorithm; Metaheuristics; Constrained optimization; Multi-objective optimization problems
Citation
NEURAL COMPUTING & APPLICATIONS, v.32, no.23, pp.17433 - 17488
Indexed
SCIE
SCOPUS
Journal Title
NEURAL COMPUTING & APPLICATIONS
Volume
32
Number
23
Start Page
17433
End Page
17488
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/51409
DOI
10.1007/s00521-020-05112-1
ISSN
0941-0643
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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College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles

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