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Application of artificial fish swarm algorithm in vehicle routing problem

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成果类型:
期刊论文、会议论文
作者:
Shiyu Jia;Kang Zhou;Yu Yang;Huaqing Qi;Yiting Zhen;...
通讯作者:
Zhou, K.
作者机构:
[Zhen Y.; Zhang Z.; Zhang H.; Jia S.; Hu L.; Yang Y.; Zhou K.] School of Math and Computer, Wuhan Polytechnic University, Wuhan, Hubei 430023, China
[Qi H.] Department of Economics and Management, Wuhan Polytechnic University, Wuhan, Hubei 430023, China
通讯机构:
[Zhou, K.] S
School of Math and Computer, China
语种:
英文
关键词:
Artificial fish swarm algorithm (AFSA);Improved AFSA;VRP
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2018
卷:
952
页码:
1-12
会议名称:
13th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2018
会议论文集名称:
Bio-inspired Computing: Theories and Applications
会议时间:
2 November 2018 through 4 November 2018
主编:
Jianyong Qiao<&wdkj&>Xinchao Zhao<&wdkj&>Linqiang Pan<&wdkj&>Xingquan Zuo<&wdkj&>Xingyi Zhang<&wdkj&>Qingfu Zhang<&wdkj&>Shanguo Huang
出版者:
Springer, Singapore
ISBN:
978-981-13-2828-2
基金类别:
Acknowledgements. The work was supported by the Special Scientific Research Fund of Food Public Welfare Profession of China (201513004-3), subproject of the National Key Research and Development Program of China (2017YFD0401102-02), the Guiding Scientific Research Project of Hubei Provincial Education Department (B2017078) and the Humanities and Social Sciences Fund Project of Hubei Provincial Education Department (17Y071).
机构署名:
本校为第一机构
院系归属:
数学与计算机学院
摘要:
Artificial fish swarm algorithm (AFSA) has important theoretical research value and practical significance in solving VRP. The traditional AFSA which does not consider the structural features of VRP will lead to too complex for the process to solve problems, too much time to search optimal solution and too low computational accuracy. In this paper, the traditional method is improved that neighborhood search which are more efficient for VRP are used in the three behaviors of AF swarm, and discretize the three behaviors. The improvement optimizes...

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