A co-evolutionary approach using information about future requests for dynamic vehicle routing problem with soft time windows-Reference-Cited by-同舟云学术

A co-evolutionary approach using information about future requests for dynamic vehicle routing problem with soft time windows

Published:2017-04-22 Issue:3 Volume:10 Page:307-319
ISSN:1865-9284
Container-title:Memetic Computing
language:en
Short-container-title:Memetic Comp.

Author:

Barkaoui Mohamed^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,General Computer Science

Link

http://link.springer.com/article/10.1007/s12293-017-0231-8/fulltext.html

Reference27 articles.

1. Barkaoui M, Gendreau M (2013) An adaptive evolutionary approach for real-time vehicle routing and dispatching. J Comput Oper Res 40(7):1766–1776

2. Bent R, Van Hentenryck P (2004) Scenario-based planning for partially dynamic vehicle routing with stochastic customers. Oper Res 52:977–987

3. Bent R, Van Hentenryck P (2007) Waiting and relocation strategies in online stochastic vehicle routing. In: International joint conference on artificial intelligence, pp 1816–1821

4. Branke J, Middendorf M, Noeth G, Dessouky M (2005) Waiting strategies for dynamic vehicle routing. Transp Sci INFORMS 39(3):298–312

5. Dondo R, Cerda J (2006) An MILP framework for dynamic vehicle routing problems with time windows. Lat Am Appl Res 36(4):255–261

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