CWCA: Complex-valued encoding water cycle algorithm

Since the meta-heuristic water cycle algorithm (WCA) was presented, it has been used extensively in scientific computation and engineering optimization. The aims of this study are to improve the exploration and exploitation capabilities of the WCA algorithm, accelerate its convergence speed, and enh...

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Autores principales:	Guo Zhou, Yongquan Zhou, Zhonghua Tang, Qifang Luo
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	water cycle algorithm complex-valued water cycle algorithm benchmark functions engineering optimization meta-heuristic optimization Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/ed00701bc7604035a00c3f0da68e812e
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spelling	oai:doaj.org-article:ed00701bc7604035a00c3f0da68e812e2021-11-09T05:50:15ZCWCA: Complex-valued encoding water cycle algorithm10.3934/mbe.20212941551-0018https://doaj.org/article/ed00701bc7604035a00c3f0da68e812e2021-06-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021294?viewType=HTMLhttps://doaj.org/toc/1551-0018Since the meta-heuristic water cycle algorithm (WCA) was presented, it has been used extensively in scientific computation and engineering optimization. The aims of this study are to improve the exploration and exploitation capabilities of the WCA algorithm, accelerate its convergence speed, and enhance its calculation accuracy. In this paper, a novel complex-valued encoding WCA (CWCA) is proposed. The positions of rivers and streams are divided into two parts, that is, the real part and imaginary part, and modified formulas for the new positions of rivers and streams are proposed. To evaluate the performance of the CWCA, 12 benchmark functions and four engineering examples were considered. The experimental results indicated that the CWCA had higher precision and convergence speed than the real-valued WCA and other well-known meta-heuristic algorithms.Guo ZhouYongquan ZhouZhonghua Tang Qifang Luo AIMS Pressarticlewater cycle algorithmcomplex-valued water cycle algorithmbenchmark functionsengineering optimizationmeta-heuristic optimizationBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 5836-5864 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	water cycle algorithm complex-valued water cycle algorithm benchmark functions engineering optimization meta-heuristic optimization Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	water cycle algorithm complex-valued water cycle algorithm benchmark functions engineering optimization meta-heuristic optimization Biotechnology TP248.13-248.65 Mathematics QA1-939 Guo Zhou Yongquan Zhou Zhonghua Tang Qifang Luo CWCA: Complex-valued encoding water cycle algorithm
description	Since the meta-heuristic water cycle algorithm (WCA) was presented, it has been used extensively in scientific computation and engineering optimization. The aims of this study are to improve the exploration and exploitation capabilities of the WCA algorithm, accelerate its convergence speed, and enhance its calculation accuracy. In this paper, a novel complex-valued encoding WCA (CWCA) is proposed. The positions of rivers and streams are divided into two parts, that is, the real part and imaginary part, and modified formulas for the new positions of rivers and streams are proposed. To evaluate the performance of the CWCA, 12 benchmark functions and four engineering examples were considered. The experimental results indicated that the CWCA had higher precision and convergence speed than the real-valued WCA and other well-known meta-heuristic algorithms.
format	article
author	Guo Zhou Yongquan Zhou Zhonghua Tang Qifang Luo
author_facet	Guo Zhou Yongquan Zhou Zhonghua Tang Qifang Luo
author_sort	Guo Zhou
title	CWCA: Complex-valued encoding water cycle algorithm
title_short	CWCA: Complex-valued encoding water cycle algorithm
title_full	CWCA: Complex-valued encoding water cycle algorithm
title_fullStr	CWCA: Complex-valued encoding water cycle algorithm
title_full_unstemmed	CWCA: Complex-valued encoding water cycle algorithm
title_sort	cwca: complex-valued encoding water cycle algorithm
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/ed00701bc7604035a00c3f0da68e812e
work_keys_str_mv	AT guozhou cwcacomplexvaluedencodingwatercyclealgorithm AT yongquanzhou cwcacomplexvaluedencodingwatercyclealgorithm AT zhonghuatang cwcacomplexvaluedencodingwatercyclealgorithm AT qifangluo cwcacomplexvaluedencodingwatercyclealgorithm
_version_	1718441346307457024

CWCA: Complex-valued encoding water cycle algorithm

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