Cold Chain Logistics Path Optimization via Improved Multi-Objective Ant Colony Algorithm
In order to improve the performance and change the current situation of the cost minimization model widely used in the cold chain logistics distribution process, a multi-objective optimization model based on cost, carbon emissions and customer satisfaction is proposed. Considering the characteristic...
Main Authors: | Banglei Zhao, Haixia Gui, Huizong Li, Jing Xue |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9154715/ |
Similar Items
-
Optimizing the transportation route of fresh food in cold chain logistics by improved genetic algorithms
by: Peng Jing
Published: (2019-01-01) -
Path planning of mobile robot based on improved ant colony algorithm for logistics
by: Tian Xue, et al.
Published: (2021-04-01) -
Research on the optimized route of cold chain logistics transportation of fresh products in context of energy-saving and emission reduction
by: Zheng Liu, et al.
Published: (2021-04-01) -
A New Distribution Path Selection Method for Biomedical Cold Chain: Bidirectional Dijkstra Algorithm
by: Yaoli ZHANG, et al.
Published: (2013-11-01) -
A Novel Multi-Objective Model for the Cold Chain Logistics Considering Multiple Effects
by: Feiyue Qiu, et al.
Published: (2020-09-01)