Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A comprehensive review on water cycle algorithm and its applications

Authors
최영환Mohammad NasirAli Sadollah김중훈
Issue Date
Dec-2020
Publisher
Springer Verlag
Citation
Neural Computing and Applications, no.32, pp 1 - 56
Pages
56
Indexed
SCIE
SCOPUS
Journal Title
Neural Computing and Applications
Number
32
Start Page
1
End Page
56
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/5824
ISSN
0941-0643
1433-3058
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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
건설환경공과대학 > 건설시스템공학과 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Choi, Young Hwan photo

Choi, Young Hwan
건설환경공과대학 (건설시스템공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE