ACDO: An Ant Colony Dynamic Optimization Framework for Tourism Route Planning-Reference-Cited by-同舟云学术

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ACDO: An Ant Colony Dynamic Optimization Framework for Tourism Route Planning

Published:2023-10-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 4th International Conference on Computer Science and Management Technology
language:
Short-container-title:

Author:

Wei Xiongfei¹^ORCID,Tang Kezong¹^ORCID,Chen Ziwei¹^ORCID,Chen Huijun²^ORCID,Shi Yuheng³^ORCID,Jiang Yuanhao⁴^ORCID

Affiliation:

1. School of Information Engineering, Jingdezhen Ceramic University, China

2. School of Marxism, Shanghai Normal University, China

3. FacuIty of VehicIe Engineering and Mechanics, Dalian University of Technology, China

4. School of Computer Science and Technology, East China Normal University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3644523.3644675

Reference13 articles.

1. Ant system: optimization by a colony of cooperating agents

2. Dual hierarchical genetic-optimal control: A new global optimal path planning method for robots

3. Adaptive particle swarm optimization algorithm based on diversity feedback

4. A control system of rail-guided vehicle assisted by transdifferentiation strategy of lower organisms

5. A survey: Ant Colony Optimization based recent research and implementation on several engineering domain

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