计算机工程与应用2019，Vol.55Issue(24)：46-53,8.DOI:10.3778/j.issn.1002-8331.1906-0432
基于动态调整和协同搜索的花授粉算法
Flower Pollination Algorithm Based on Dynamic Adjustment and Cooperative Search
摘要
Abstract
Aiming at the shortages of basic flower pollination algorithm with easy to fall into local optimum, slow conver-gence speed and low search precision, a new algorithm based on dynamic adjustment and cooperative search(FPADC)is proposed. Halton sequences are used to enhance the quality of initial solution. Through the division of population, the diversity of the population can be improved to jump out of the local optimum. In order to improve the convergence rate and precision, optimizing strategy of the algorithms is dynamically adjusted according to the population evolutionary infor-mation. The experimental results show that the proposed algorithm is much better than basic FPA and its several improved algorithms in optimization performance.关键词
花授粉算法/群智能算法/高斯变异/动态调整Key words
flower pollination algorithm/swarm intelligent algorithm/Gauss mutation/dynamic tuning分类
信息技术与安全科学引用本文复制引用
张水平,高栋..基于动态调整和协同搜索的花授粉算法[J].计算机工程与应用,2019,55(24):46-53,8.基金项目
国家自然科学基金(No.61562037) （No.61562037）
江西省教育厅科学技术研究项目(No.GJJ180442) （No.GJJ180442）
江西省研究生创新专项基金项目(No.YC2018-S330). （No.YC2018-S330）
