A Parallel Genetic Algorithm Framework for Transportation Planning and Logistics Management

A Parallel Genetic Algorithm Framework for Transportation Planning and Logistics Management

Small to medium sized transportation and logistics companies are usually constrained by limited computing and IT professional resources on implementing an efficient parallel metaheuristic algorithm for planning or management solutions. In this paper we extend the standard meta-description for geneti...

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Bibliographic Details
Main Authors: Dmitri I. Arkhipov, Di Wu, Tao Wu, Amelia C. Regan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Parallel metaheuristics
genetic algorithm
transportation planning
logistics management
Online Access:https://ieeexplore.ieee.org/document/9099840/

Internet

https://ieeexplore.ieee.org/document/9099840/

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