摘要
萤火虫算法作为一种新兴的群智能优化算法,它具有概念简单、易于实现、优化性能好等优点,因而被广泛地应用于求解不同研究领域的优化问题。为了提高萤火虫算法的优化性能,许多学者对其进行了改进。本文讨论了近年来萤火虫算法的若干改进方法,并对算法的应用进行了综述,最后指出了算法的进一步研究方向。
Firefly algorithm( FA) is a new swarm intelligence optimization algorithm,and it has some advantages,such as simple concept,easy implementation and good optimization performance. So it is widely used to solve optimization problems in different research fields. In order to improve the optimization performance of FA,many scholars have improved it. This paper discusses several improved methods of FA and summarizes its applications. Finally,some research directions of FA are presented.
作者
王晖
王文君
肖松毅
WANG Hui;WANG Wenjun;XIAO Songyi(School of Information Engineering, Nanchang Institute of Technology,Nanchang 330099,China;Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology,Nanchang 330099,China;School of Business Administration, Nanchang Institute of Technology,Nanchang 330099,China)
出处
《南昌工程学院学报》
CAS
2019年第4期71-77,共7页
Journal of Nanchang Institute of Technology
基金
江西省教育厅科学技术研究项目(GJJ161115)
国家自然科学基金资助项目(61663028)
江西省杰出青年人才资助计划项目(20171BCB23075)
江西省自然科学基金资助项目(20171BAB202035)
关键词
萤火虫算法
群智能
自适应参数
优化
firefly algorithm
swarm intelligence
adaptive parameters
optimization
