燕山大学学报2017，Vol.41Issue(3)：253-264,12.DOI:10.3969/j.issn.1007-791X.2017.03.009
基于过滤引导及随机性策略的差分搜索算法
Differential search algorithm based on strategies offiltration guidance and random
摘要
Abstract
Differential search algorithm is a new and efficient bionic intelligent algorithm. However, the algorithm convergences slowly, and its search accuracy is not high enough. Therefore, the differential search algorithm based on the strategies of filtration guidance and random is proposed.On the one hand, the strategy of filtration guidance is introduced to search equation for the first search, so that the convergence speed is improved to some extent;on the other hand, random operator guides the search equation, making the algorithm achieve global convergence quickly. Through solving the standard test functions, simulation results show that the proposed algorithm has effectively improved the performance of the algorithm. Compared with other algorithms, the proposed algorithm is more suitable to solve the complex and difficult larger multi-modal optimization problem.关键词
差分搜索算法/过滤搜索策略/函数优化/随机算子/群体方式Key words
differential search algorithm/filtration search strategy/function optimization/random operator/swarm intelligence optimization分类
信息技术与安全科学引用本文复制引用
康志龙,张东婧,郭艳菊,张雪萍,陈雷..基于过滤引导及随机性策略的差分搜索算法[J].燕山大学学报,2017,41(3):253-264,12.基金项目
国家自然科学基金资助项目(61401307) （61401307）
中国博士后科学基金资助项目(2014M561184) （2014M561184）
天津市应用基础与前沿技术研究计划项目(15JCYBJC17100) （15JCYBJC17100）
天津市科技特派员项目(16JCTPJC48400) （16JCTPJC48400）
