Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6892508 | Computers & Operations Research | 2018 | 44 Pages |
Abstract
This article deals with the Vehicle Routing Problem with Stochastic Demands. To solve this problem, a hybrid metaheuristic combining a Memetic Algorithm and Greedy Randomized Adaptive Search Procedure is designed. The developed approach is tested on a 40 instances benchmark. The results are validated by comparing them to state of the art metaheuristics, they show that our method outperforms these metaheuristics in terms of quality and efficiency. A new testbed of 39 instances with up to 385 customers is also proposed and tested. This paper is the first one to deal with closer to real life size problems.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Andres Gutierrez, Laurence Dieulle, Nacima Labadie, Nubia Velasco,