计算机技术与发展Issue(8)：94-98,5.DOI:10.3969/j.issn.1673-629X.2015.08.020
果蝇优化算法优化性能对比研究
Comparative Study on Optimization Performance of Fruit Fly Optimization Algorithm
摘要
Abstract
Aiming at the characteristic and advantage of swarm intelligence optimization algorithm,a comparative study on optimization performance of four swarm intelligence algorithms including fruit fly optimization algorithm, shuffled frog leaping algorithm, harmony search algorithm and artificial bee colony algorithm is proposed. Compared with the other three algorithms,the results indicate that fruit fly optimization algorithm has some characteristics such as few parameters, high ability of global optimization and rapid convergence speed. In the lower evolution times,the convergence precision and speed of fruit fly optimization algorithm is the best of four algorithms. But with the increasing times of evolution,the fruit fly optimization algorithm exists some limitations such as easy to local convergence, slower computing speed,and not satisfactory in solving the optimization problem of little function. It is necessary to strengthen its theory of fruit fly optimization algorithm to improve its quality and searching efficiency,which provides important support for the integration and improvement technology of swarm intelligence optimization algorithm.关键词
群体智能优化算法/果蝇优化算法/混合蛙跳算法/和声搜索算法/人工蜂群算法/优化性能Key words
swarm intelligence optimization algorithm/fruit fly optimization algorithm/shuffled frog leaping algorithm/harmony search algorithm/artificial bee colony algorithm/optimization performance分类
信息技术与安全科学引用本文复制引用
刘立群,韩俊英,代永强,火久元..果蝇优化算法优化性能对比研究[J].计算机技术与发展,2015,(8):94-98,5.基金项目
国家自然科学基金资助项目(61063028) （61063028）
甘肃省科技计划资助项目(145RJYA288) （145RJYA288）
甘肃省高等学校科研基金项目(2013A-060,1202-04) （2013A-060,1202-04）
甘肃省教育科研基金资助项目(1102-05) （1102-05）
甘肃省教育信息化战略研究项目(2011-02) （2011-02）
甘肃农业大学盛彤笙科技创新基金资助项目(GSAU-STS-1322) （GSAU-STS-1322）
甘肃农业大学青年研究生指导教师扶持基金项目(GAU-QNDS-201309) （GAU-QNDS-201309）
