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Improvement And Application Of Metaheuristic Algorithm For Water Wave Optimization

Posted on:2018-12-22Degree:MasterType:Thesis
Country:ChinaCandidate:X L WuFull Text:PDF
GTID:2348330542483668Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Water wave optimization(WWO)is a new metaheuristic which based on shallow water theory and is a global optimization in the search space by analog operations of water waves including propagation,breaking,refraction.Compared with many existing heuristic optimization algorithm,it has the advantages of simple frame,easy to realize and less parameters,so it has been widely concerned and studied by many scholars,and has been successfully applied to optimization problems,which show the good performance.With the deepening of the research,the water wave optimization algorithm in convergence speed and calculation precision need to be further improved.This paper aimed at the problem of water wave optimization algorithm which in convergence speed,calculation precision,the capacity of global exploration and local exploitation,based on the original algorithm WWO,the evolution of the new strategy and improve algorithm set up parameters are as improved method,meanwhile applied the improved algorithm to engineering optimization,and then the performance of the algorithm is improved,the purpose is to improve its theoretical basis and expand its application scope.The main work of this paper is as follows:(1)Because of the convergence and the accuracy of the heuristic optimization algorithm,it is closely related to the random initialization population,in order to improve the calculation precision and convergence speed,a new algorithm hybrid optimization algorithm based on water wave optimization algorithm and chaos optimization is proposed.The experimental results show that the improved algorithm has a certain degree of improvement in the calculation precision and convergence speed,and the proposed hybrid algorithm can improve the overall performance of the algorithm.(2)In order to improve the capacity of global exploration and local exploitation of water wave optimization algorithm,which is based on the original algorithm,introduce elite opposition-based water wave optimization algorithm for global optimization,and apply the improved algorithm to some engineering optimization problems,which shows the good performance.
Keywords/Search Tags:water wave optimization algorithm, chaos, simplex method, elite opposition-based learning strategy, engineering design problem
PDF Full Text Request
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