首页 | 官方网站   微博 | 高级检索  
     

一种变视野和步长的人工鱼群算法
引用本文:鲍海兴,曾志高,朱艳辉,文志强,杜 坤,任 松.一种变视野和步长的人工鱼群算法[J].湖南工业大学学报,2018,32(3):81-85.
作者姓名:鲍海兴  曾志高  朱艳辉  文志强  杜 坤  任 松
作者单位:湖南工业大学计算机学院
基金项目:国家自然科学基金资助项目(61271140),模式识别国家重点实验室开放课题基金资助项目(201700009), 湖南省自然科学基金资助项目(2018JJ2098),湖南省教育厅科研基金资助项目(17C0481,15A049,15C0402, 15C0395,13C036),湖南省科技计划基金资助项目(2015GK3024)
摘    要:针对传统人工鱼群算法的寻优精度不高、后期收敛速度慢且出现振荡现象的问题,提出一种自适应视野和步长的人工鱼群算法,该算法将两条人工鱼之间的距离作为视野,并将得到的视野乘以一个系数作为步长。随着鱼群的不断聚集,视野和步长相应地减小,有利于搜寻到最优点。实验结果表明,改进后的算法收敛速度更好、寻优精度更高。

关 键 词:人工鱼群算法  自适应  优化
收稿时间:2017/6/30 0:00:00

An Artificial Fish Swarm Algorithm Based on Variable Visual Field and Step Length
BAO Haixing,ZENG Zhigao,ZHU Yanhui,WEN Zhiqiang,DU Kun and REN Song.An Artificial Fish Swarm Algorithm Based on Variable Visual Field and Step Length[J].Journal of Hnnnan University of Technology,2018,32(3):81-85.
Authors:BAO Haixing  ZENG Zhigao  ZHU Yanhui  WEN Zhiqiang  DU Kun and REN Song
Abstract:In view of such flaws as low accuracy, slow convergence rate and oscillation in the later stage which are commonly found in the traditional artificial fish swarm algorithm, a proposal has thus been made of an artificial fish swarm algorithm with adaptive visual field and step length. Taking the distance between the two artificial fish as the visual field, the proposed algorithm multiplies the obtained results by a coefficient as the step length. With the continuous accumulation of fish, the corresponding reduction in visual field and step length is conducive to locating the optimum point. The experimental results show that the improved algorithm is characterized with advantages of better convergence rate and higher accuracy.
Keywords:
本文献已被 CNKI 等数据库收录!
点击此处可从《湖南工业大学学报》浏览原始摘要信息
点击此处可从《湖南工业大学学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号