A Kind of Improved Monkey Algorithm
作者单位：School of SciencesXi'an University of Technology School of Automation and Information EngineeringXi'an University of Technology State Key Laboratory of Astronautic Dynamics Xi'an Satellite Control Center
会议名称：《第30届中国控制与决策会议》
会议日期：2018年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by National Nature Science Foundation under Grants 61773016 and 61673318 the Science and Technology Innovation Project of Xi’an University of Technology under Grant 2016CX013 the Innovative Training Item for College Student of Shaanxi Province under Grant 1134
关 键 词：Swarm Intelligence Optimization Monkey Algorithm Inducing Factor
摘 要：Swarm intelligence is one of the most promising area for the researchers in the field of numerical *** algorithm is a new swarm intelligent optimization *** algorithm can effectively solve the optimization problems of linear,nonlinear,nonconvex and complex high dimensional ***,it has been widely studied and concerned by many *** order to further improve the solution accuracy of algorithm,this paper proposes a kind of improved monkey *** basic idea of the proposed monkey algorithm is that an inducing factor is adopted in the climbing process of the basic monkey algorithm to induce it to crawl upward,which can escape from local optimal solution and find the global optimal ***,experimental results show that the algorithm significantly improves the search ability of monkey algorithm.