计算机应用研究Issue(2)：368-371,4.DOI:10.3969/j.issn.1001-3695.2015.02.011
变尺度混沌光强吸收系数的萤火虫优化算法
Firefly algorithm with scale chaotic light absorption coefficient
摘要
Abstract
In view of premature phenomenon of the basic firefly algorithm(FA),this paper proposed a novel firefly algorithm based on scale chaotic light absorption coefficient (CSFA).In CSFA,firstly,it used Sinusoidal mapping to generate chaotic light absorption coefficient.Secondly,it used the mutative scale chaos light absorption coefficient in the process of iteration which was proportional to the number of iterations.Thirdly,it divided the firefly population into three subgroups to collaborate so as to enhance the ability of the global exploration early and the ability of the local refinement later.Experimental results show that CSFA is effective and compared with FA it has good optimization precision and convergence speed.关键词
群智能/萤火虫算法/混沌/Sinusoidal映射/变尺度混沌算子Key words
swarm intelligence/firefly algorithm/chaos/Sinusoidal map/scale chaos mutation分类
信息技术与安全科学引用本文复制引用
徐华丽,苏守宝,陈家俊,牛应轩..变尺度混沌光强吸收系数的萤火虫优化算法[J].计算机应用研究,2015,(2):368-371,4.基金项目
国家自然科学基金资助项目（61075049）；国家科技型中小企业技术创新基金资助项目（12C26243403509）；安徽省高校自然科学研究重点项目（KJ2014A256）；六安市定向委托皖西学院产学研合作项目 （）
