Wuhan Polytech Univ, Dept Math & Comp Sci, Wuhan 430023, Hubei, Peoples R China.
语种：
英文
关键词：
VRP;ABC;AFSA;artificial intelligence algorithm
期刊：
Proceedings of SPIE - The International Society for Optical Engineering
ISSN：
0277-786X
年：
2018
卷：
10611
会议名称：
10th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
National Key Research and Development Program of China [2017YFD0401102-02]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61179032]; Special Scientific Research Fund of Food Public Welfare Profession of China [201513004-3]; Guiding Scientific Research Project of Hubei Provincial Education Department [B2017078]; Humanities and Social Sciences Fund Project of Hubei Provincial Education Department [17Y071]
机构署名：
本校为第一且通讯机构
院系归属：
数学与计算机学院
摘要：
Focused on the issue that the decrease of convergence speed and the precision of calculation at the end of the process in Artificial Fish Swarm Algorithm(AFSA) and instability of results, a hybrid AFSA based on similar fragments is proposed. Traditional AFSA enjoys a lot of obvious advantages in solving complex optimization problems like Vehicle Routing Problem(VRP). AFSA have a few limitations such as low convergence speed, low precision and instability of results. In this paper, two improvements are introduced. On the one hand, change the definition of the distance for artificial fish, as we...
