Diversity Analysis of Population in Shuffled Frog Leaping Algorithm

摘要：

　　The diversity of population is an important indicator for measuring optimal performance of swarm intelligence algorithms.The effect of three operators of Shuffled Frog Leaping Algorithm (SFLA) on the diversity of popu lation and the average optimization results were analyzed in this paper by means of the simulation experiments.The results show that removing the global extreme learning operator will not only maintain the higher diversity of popula tion, but also improve the operating speed and the optimization precision of the algorithm.

关键词： swarm intelligence shuffled frog leaping algorithm diversity of population function optimization

作者: Lianguo Wang Yaxing Gong

作者单位: College of Information Science and Technology, Gansu Agricultural University,Lanzhou, China;College College of Engineering, Gansu Agricultural University, Lanzhou, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 24-31

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）