计算机与数字工程2019，Vol.47Issue(12)：2957-2961,3208,6.DOI:10. 3969/j. issn. 1672-9722. 2019. 12. 004
基于粒子群搜索策略的混合果蝇优化算法
Hybrid Fruit Flies Optimization Algorithm Based on Particle Search Strategy
摘要
Abstract
Fruit flies optimization algorithm is an intelligent optimization algorithm,which has some shortcomings in such as?pects as convergence speed and precision,etc in the later period. This paper presents a mixed fruit flies optimization algorithm based on particle swarm search strategy,making full use of individual extremum and global extremum position in PSO algorithm to update the individual position of fruit flies,so as to make up for the deficiency of the fruit flies optimization algorithm. In order to verify the performance of the algorithm,six standard multivariate nonlinear functions are tested and this algorithm is compared with the standard fruit flies optimization algorithm. With the test results shows that the proposed algorithm's convergence and accuracy are both improved.关键词
果蝇优化算法/粒子群算法/搜索策略/混合Key words
fruit flies optimzation algorithm/particle swarm optimization/search strategy/hybrid分类
信息技术与安全科学引用本文复制引用
郭德龙,周锦程,周永权..基于粒子群搜索策略的混合果蝇优化算法[J].计算机与数字工程,2019,47(12):2957-2961,3208,6.基金项目
国家自然科学基金项目(编号:61862051) （编号:61862051）
贵州省科技厅联合基金项目"果蝇优化算法研究与应用"(编号:黔科LH[2014]7436) （编号:黔科LH[2014]7436）
广西复杂系统与智能计算重点实验室开放课题"果蝇优化算法改进应用"(编号:15CI04Y)资助. （编号:15CI04Y）
