An Enhanced Ant Colony Algorithm with Variable Neighborhood Descent for Multi-compartment Vehicle Routing Problem with Time Limits-Reference-Cited by-同舟云学术

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An Enhanced Ant Colony Algorithm with Variable Neighborhood Descent for Multi-compartment Vehicle Routing Problem with Time Limits

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:2022 41st Chinese Control Conference (CCC)
language:
Short-container-title:

Author:

Guo Ning¹,Qian Bin¹,Na Jing²,Hu Rong¹,Mao Jian-Lin¹

Affiliation:

1. Academy of Information Engineering and Automation, Kunming University of Science and Technology,Kunming,P. R. China,650500

2. Academy of Mechanical and Electrical Engineering, Kunming University of Science and Technology,Kunming,P. R. China,650500

Funder

National Natural Science Foundation (NNSF) of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9901509/9901494/09901913.pdf?arnumber=9901913

Reference18 articles.

1. Measuring and evaluating hybrid metaheuristics for solving the multi-compartment vehicle routing problem

2. Ant algorithms with immigrants schemes for the dynamic vehicle routing problem

3. Routing optimization of emergency grain distribution vehicles using the immune ant colony optimization algorithm

4. An improved ant colony optimization algorithm for the multi-depot green vehicle routing problem with multiple objectives

5. A hybrid ant colony optimization algorithm for a multi-objective vehicle routing problem with flexible time windows

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data Transmission in Wireless Sensor Networks Based on Ant Colony Optimization Technique;Applied Sciences;2024-06-18

2. Multi-trip multi-compartment vehicle routing problem with backhauls;International Journal of System Assurance Engineering and Management;2023-08-18

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