Design a Smart and Intelligent Routing Network Using Optimization Techniques-Reference-Cited by-同舟云学术

Design a Smart and Intelligent Routing Network Using Optimization Techniques

Published:2018-09-08 Issue: Volume: Page:297-310
ISSN:2194-5357
Container-title:Data Management, Analytics and Innovation
language:
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Author:

Lemos Joyce Yoseph,Joshi Abhijit R.,D’souza Manish M.,D’souza Archi D.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-1274-8_23

Reference10 articles.

1. Li, L., & Fu, Z. (2009). The school bus routing problem. European Journal of Operational Research. Journal of the Operational Research Society, Department of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH).

2. Riera-Ledesma, J., & Salazar-Gonza´lez, J. J. (2013). Solving school bus routing using the multiple vehicle traveling purchaser problem: A branch-and-cut approach. Computer & Organization Reaserch, 2013.

3. Selvi, V., & Umarani, R. (2010). Comparative analysis of ant colony and particle swarm optimization techniques. International Journal of Computer Applications, 2010, Tamil Nadu, India.

4. Riera-Ledesma, J., & Salazar-Gonza´lez, J. J. (2012). A column generation approach for a school bus routing problem with resource constraints. Computer & Organization Reaserch, 2012.

5. Rizzoli, A. E., Montemanni, R., Lucibello, E., & Gambardella, L. M. (2007). Ant colony optimization for realworld vehicle routing problems: From theory to applications, 2007.

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