An improved particle swarm optimization for carton heterogeneous vehicle routing problem with a collection depot-Reference-Cited by-同舟云学术

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An improved particle swarm optimization for carton heterogeneous vehicle routing problem with a collection depot

Published:2015-03-05 Issue:2 Volume:242 Page:303-320
ISSN:0254-5330
Container-title:Annals of Operations Research
language:en
Short-container-title:Ann Oper Res

Author:

Yao Baozhen,Yu Bin,Hu Ping,Gao Junjie,Zhang Mingheng

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Link

http://link.springer.com/content/pdf/10.1007/s10479-015-1792-x.pdf

Reference38 articles.

1. Ai, T. J., & Kachitvichyanukul, V. (2009). A particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery. Computers & Operations Research, 36(5), 1693–1702.

2. Athanasopoulos, T., & Minis, L. (2013). Efficient techniques for the multi-period vehicle routing problem with time windows within a branch and price framework. Annals of Operations Research, 206(1), 1–22.

3. Bell, J. E., & McMullen, P. R. (2004). Ant colony optimization techniques for the vehicle routing problem. Advanced Engineering Informatics, 1(8), 41–48.

4. Chao, M. I., Golden, B. L., & Wasil, E. A. (1993). A new heuristic for the multi-depot vehicle routing problem that improves upon bestknown solutions. American Journal of Mathematical and Management Sciences, 13, 371–406.

5. Chatterjee, A., & Siarry, P. (2006). Nonlinear inertia weight variation for dynamic adaption in particle swarm optimization. Computer and Operations Research, 33(3), 859–871.

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