Parallel Multi-Start Non-dominated Sorting Particle Swarm Optimization Algorithms for the Minimization of the Route-Based Fuel Consumption of Multiobjective Vehicle Routing Problems-Reference-Cited by-同舟云学术

Parallel Multi-Start Non-dominated Sorting Particle Swarm Optimization Algorithms for the Minimization of the Route-Based Fuel Consumption of Multiobjective Vehicle Routing Problems

Published:2017 Issue: Volume: Page:425-456
ISSN:1931-6828
Container-title:Optimization Methods and Applications
language:
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Author:

Psychas Iraklis-Dimitrios,Marinaki Magdalene,Marinakis Yannis,Migdalas Athanasios

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-68640-0_20

Reference97 articles.

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3. Ai, T.J., Kachitvichyanukul, V.: Particle swarm optimization and two solution representations for solving the capacitated vehicle routing problem. Comput. Ind. Eng. 56, 380–387 (2009)

4. Bandeira, J.M., Fontes, T., Pereira, S.R., Fernandes, P., Khattak, A., Coelho, M.C.: Assessing the importance of vehicle type for the implementation of eco-routing systems. Transp. Res. Procedia 3, 800–809 (2014)

5. Banks, A., Vincent, J., Anyakoha, C.: A review of particle swarm optimization. Part I: background and development. Nat. Comput. 6(4), 467–484 (2007)

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