An improved sine cosine water wave optimization algorithm for global optimization

Thewaterwave optimization (WWO) algorithm inspired by shallowwaterwave 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 cosineWWO 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.