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Application of discrete ant colony optimization in VRPTW

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成果类型:
期刊论文、会议论文
作者:
Fu, Qinhong;Zhou, Kang;Qi, Huaqing;Wu, Tingfang
通讯作者:
Zhou, Kang(zhoukang_wh@163.com)
作者机构:
[Fu, Qinhong] School of Math and Computer, Wuhan Polytechnic University, Wuhan, Hubei, 430023, China
[Wu, Tingfang] Key Laboratory of Image Information Processing and Intelligent Control, School of Automation, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
[Qi, Huaqing; Zhou, Kang] Department of Economics and Management, Wuhan Polytechnic University, Wuhan, Hubei, 430023, China
通讯机构:
[Zhou, K.] D
Department of Economics and Management, China
语种:
英文
关键词:
Discrete ant colony optimization;Time windows;Vehicle routing problem
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2016
卷:
682
页码:
204-218
会议名称:
11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016
会议时间:
28 October 2016 through 30 October 2016
主编:
Pan L.Gong M.Song T.Zhang G.Song T.
出版者:
Springer Verlag
ISBN:
9789811036132
基金类别:
This work was supported by National Natural Science Foundation of China (Grant No. 61179032), the Special Scientific Research Fund of Food Public Welfare Profession of China (Grant No. 201513004-3) and the Research and Practice Project of Graduate Education Teaching Reform of Wuhan Polytechnic University (YZ2015002).
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:
The classical ant colony algorithm for vehicle routing problem with time windows (VRPTW) has problems of low efficiency, slow convergence and prematurity. And the discrete ant colony optimization (DACO) is proposed for these problem. It adopts the one-dimensional discrete coding that can make the data structure simpler and bring in faster convergence speed. In addition, self-convergence mode is used to calculate the optimal vehicle number rather than setting the optimal vehicle number at the beginning, which makes the algorithm more flexible and accelerates the convergence speed effectively. T...

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