Two-Stage Genetic Algorithm for Optimization Logistics Network for Groupage Delivery

Two-Stage Genetic Algorithm for Optimization Logistics Network for Groupage Delivery

This study explored the optimization of groupage intercity delivery using a two-stage genetic algorithm (GA) framework, developed with the BaumEvA Python library. The primary objective was to minimize the transportation costs by strategically positioning regional branch warehouses within a logistics...

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Bibliographic Details
Main Authors: Ivan P. Malashin, Vadim S. Tynchenko, Igor S. Masich, Denis A. Sukhanov, Daniel A. Ageev, Vladimir A. Nelyub, Andrei P. Gantimurov, Alexey S. Borodulin
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
groupage delivery optimization
genetic algorithm
logistics network optimization
vehicle routing problem (VRP)
location routing problem (LRP)
BaumEvA
Online Access:https://www.mdpi.com/2076-3417/14/24/12005
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