结合混沌搜索算法的混合MIMIC算法  

A Hybrid MIMIC Algorithm Combined with Chaos Search Algorithm

作　　者：赵晋彬 夏桂梅 ZHAO Jinbin;XIA Guimei(School of Applied Science, Taiyuan U）ziversity of Science and Technology, Taiyuan Shanxi 03002)

机构地区：[1]太原科技大学应用科学学院,山西太原030024

出　　处：《宁夏师范学院学报》2018年第4期16-20,共5页Journal of Ningxia Normal University

摘　　要：分布估计算法具有较强的全局搜索能力,但是局部求精能力是其一个短板.为了解决这种问题,提出一种结合混沌搜索算法的混合MIMIC算法(CS-MIMIC).验证结果表明:该算法可以找到无约束测试函数的最优值,并且在高维测试中具备较好的寻优能力,是一种有效的优化方法.Estimation of distribution algorithm has a strong global search capability,but its partial refinement capacity is weak.To solve the problem,we propose a hybrid MIMIC algorithm combined with chaos search algorithm.The simulation results show that the proposed algorithm can converge the best optimum of unconstrained and has great improvement in the partial refinement ability in the high dimensional test.Therefore,it is an effective optimization method.

关 键 词：分布估计算法 MIMIC算法 混沌搜索算法 

分 类 号：O221[理学—运筹学与控制论]