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https://doi.org/10.1145/344613...
Article . 2020 . Peer-reviewed
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Multi-constrained Vehicle Routing Problem Solution based on Adaptive Genetic Algorithm

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 24 Dec 2020Publisher:ACMJournal:2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence
Authors: Wenyu Fan;

doi: 10.1145/3446132.3446401

Multi-constrained Vehicle Routing Problem Solution based on Adaptive Genetic Algorithm

Abstract

The Multi-constrained Vehicle Routing Problem (MCVRP) is an extension of the basic vehicle routing problem (VRP). There may be more than one constraint, and the distribution cost is not only related to the routing decision, but also to the transportation volume of vehicles. This paper describes and analyzes the MCVRP, then builds an integer programming model of the multi-constraint vehicle routing problem. For this problem model, the best algorithm for solving multi-constrained vehicle routing problems is based on genetic algorithm (GA). To overcome the shortcomings of traditional GA, an improved adaptive GA for MCVRP optimization is proposed. Finally, a simulation experiment was performed on the actual data set to verify the effectiveness of the model and algorithm.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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