计算机应用研究2017，Vol.34Issue(12)：3594-3598,5.DOI:10.3969/j.issn.1001-3695.2017.12.017
基于变异策略的改进型花朵授粉算法
Improved flower pollination algorithm based on mutation strategy
摘要
Abstract
This paper introduced a new metaheuristic intelligent algorithms:flower pollinate algorithm (FPA),and a novel differential evolution mutation strategy:target mutation(TM) strategy,and proposed an improved FPA based on mutation strategy:MFPA algorithm to overcome the low accuracy computation,low speed convergence,and easy to fall into local optimization.The MFPA improved the TM,then introduced the strategy to FPA local search process to enhance local development ability of the algorithm,and introduced the random mutation operator to FPA global searching process to enhance the global exploring ability of the algorithm.Finally through the four standard test functions to test,test results show that MFPA optimization ability is better than the original flower pollination algorithm,particle swarm optimization algorithm and bat algorithm.关键词
花朵授粉算法/变异策略/定向变异/均匀变异Key words
flower pollinate algorithm/mutation strategy/targeted mutation/uniform mutation分类
信息技术与安全科学引用本文复制引用
王玉鑫,李东生,高杨..基于变异策略的改进型花朵授粉算法[J].计算机应用研究,2017,34(12):3594-3598,5.基金项目
国家自然科学基金面上资助项目(61179036) （61179036）
