Path Optimization in Different Road Sections Based on Improved Ant Colony Algorithm

Dan Li

2025

Abstract

The traditional ant colony algorithm has certain limitations to solve the path optimization problem, and its effect is relatively unsatisfactory. In the context of sustainable development, low-carbon logistics has become an inevitable trend in the development of the modern logistics industry. Traditional logistics and distribution often ignore the environmental impact of transportation, resulting in wasted energy and increased CO2 emissions. In order to meet this challenge, researchers and logistics companies are looking for innovative solutions, and intelligent algorithms provide an efficient way. This paper will focus on how to optimize low-carbon logistics paths in different road sections through improved ant colony algorithms.

Paper Citation

in Harvard Style

Li D. (2025). Path Optimization in Different Road Sections Based on Improved Ant Colony Algorithm. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 74-79. DOI: 10.5220/0013535700004664

in Bibtex Style

@conference{incoft25,
author={Dan Li},
title={Path Optimization in Different Road Sections Based on Improved Ant Colony Algorithm},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={74-79},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013535700004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Path Optimization in Different Road Sections Based on Improved Ant Colony Algorithm
SN - 978-989-758-763-4
AU - Li D.
PY - 2025
SP - 74
EP - 79
DO - 10.5220/0013535700004664
PB - SciTePress