An improved sine cosine water wave optimization algorithm for global optimization

Article type: Research Article

Authors: Zhang, Jinzhong^a | Zhou, Yongquan^{a; b; *} | Luo, Qifang^{a; b}

Affiliations: [a] College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, China | [b] Key Laboratory of Guangxi High Schools Complex System and Computational Intelligence, Nanning, China

Correspondence: [*] Corresponding author. Yongquan Zhou, Tel.: +86 13607882594; Fax: +86 771 3260264; E-mail: [email protected].

Abstract: The water wave optimization (WWO) algorithm inspired by shallow water wave theory, which has the disadvantages of falling easily into local optimal solution and slower convergence speed and lower calculation accuracy. Concerning this issue, an improved sine cosine WWO algorithm (SCWWO) used elite opposition-based is proposed and to solve optimization functions and structure engineering design problems. First of all, WWO algorithm is combined with the sine cosine algorithm (SCA) in parallel to wave propagation and breaking, because water wave waveform and sine and cosine curves are extremely similar and the SCA algorithm has strong global search capability to improve WWO algorithm’s exploitation and exploration capabilities. Secondly, the elite opposition-based learning strategy is introduced into the wave refraction operation that increases the diversity of the population and enhances the exploration capability of WWO algorithm. The SCWWO algorithm clearly improves convergence speed and calculation accuracy. The SCWWO algorithm is compared using 9 benchmark functions. The experimental results demonstrate the feasibility and efficiency of the proposed SCWWO algorithm.

Keywords: Water wave optimization, elite opposition-based algorithm, sine cosine algorithm, functions optimization, structure engineering design

DOI: 10.3233/JIFS-171001

Journal: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 4, pp. 2129-2141, 2018