Work

CWCA: Complex-valued encoding water cycle algorithm

Year: 2021

Type: article

Abstract: 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.

Source: Mathematical Biosciences & Engineering

DOI: 10.3934/mbe.2021294

Authors: Guo Zhou, Yongquan Zhou, Zhonghua Tang, Qifang Luo, Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis, Nanning 530006, China

Institutions: China University of Political Science and Law, Guangxi Minzu University

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: gold

Estimated APC paid: $1,000

OpenAlex ID: W3175388963

FWCI: 0.29

Cites: 46

Cited by: 4

Related to: 10