Abstract: Water wave optimization (WWO) algorithm,which is based on shallow water wave theory,is a new nature-inspired metaheuristic,it simulates mimicking shallow water wave motions including propagation,breaking,refraction for globally search in solution space.In order to improve the convergence speed and accuracy of the algorithm,an improved version of water wave optimization which is based on chaos optimization and simplex method(SM) was represented in this paper.It is named CSMWWO.In CSMWWO algorithm,in order to reduce the population which is random initialization influences on the convergence speed and precision of the algorithm,the chaotic optimization strategy was introduced,meanwhile the simplex method which has strong local searching ability was introduced based on chaos optimization strategy to improve the convergence speed of WWO algorithm.CSMWWO is compared with 4 heuristic algorithms including WWO in 12 benchmark functions,experimental results show that the improved algorithm have a certain degree of improvement on calculation accuracy and convergence speed,the proposed hybrid wave optimization algorithm can improve the overall performance of the water wave optimization algorithm.

Key words: Water wave optimization (WWO),Chaos strategy,Simplex method(SM)