基于混沌局部搜索的粒子群算法及其应用

为提高混沌优化搜索结果的精度,在以粒子群算法进行全局搜索的基础上,根据全局搜索结果利用混沌优化进行局部搜索,实现在全局范围上搜索最优值.分析局部混沌搜索方法,设计基于混沌局部搜索的粒子群算法的流程,利用混沌优化进行粒子群局部搜索以跳出局部最优搜索区域,避免陷入局部极小值和实现在全局范围上搜索目标函数的最优值.以RMSE...

Particle Swarm Algorithm Based on Chaos Local Search and Its Application

In order to improve the accuracy of chaos optimization results,based on the global search of particle swarm algorithm,the local search is carried out by using chaos optimization according to the global search results,and the optimal value is searched in the global range.Then we analyze the local chaos search method and design the process of particle swarm algorithm based on the chaos local search.Chaos optimization is used in particle swarm algorithm local search to jump out of the local search area,so as to avoid falling into the local minimum and achieve the optimal value of the objective function in the global range.Taking RMSE error as the accuracy evaluation criteria of search results,the accuracy of particle swarm algorithm based on chaos local search is analyzed by Rosenbrock function example,and subsequently the algorithm is applied to the decision-making of optimal location of parking lot.Proved by the research,the search results of the proposed algorithm have higher accuracy than those of chaos optimization algorithm,and its numerical value is closer to the theoretical optimal value,which verifies the effectiveness of improving the accuracy of the search results and the feasibility of solving practical problems.