Cable Laying Path Planning Based on Optimized Ant Colony Algorithm
Year: 2023
Author: Pingxian Dong, Fang Guo, Chen Chen, Xiaofan Song, Hui Wang, Pingping Bai, Huanruo Qi, Yiming Qian, Haojie Zhang, Yunhao Han
Journal of Information and Computing Science, Vol. 18 (2023), Iss. 1 : pp. 67–80
Abstract
To address the large error and low efficiency of traditional manual design in cable laying task, the computer-aided design optimized by Ant Colony Algorithm (ACA) is applied to cable laying path planning. The shortest path for cable laying is solved via the ACA's multi terminal path calculation for complex path planning. Furthermore, the planarized cable laying path is optimized via Gompertz function in aspects of pheromone restriction and self-adaptive adjustment of volatilization factor, thus improves the ACA in both convergence speed and global performance. The simulation results show that the optimized ant colony algorithm can quickly obtain the shortest cable laying path in the task of substation digital 3D cable laying, which saves the cost of manpower and materials, and improves the design accuracy.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/JICS-2023-005
Journal of Information and Computing Science, Vol. 18 (2023), Iss. 1 : pp. 67–80
Published online: 2023-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 14
Keywords: Ant colony algorithm (ACA) Cable laying Pheromone Volatilization factor Convergence rate.
Author Details
Pingxian Dong Email
Fang Guo Email
Chen Chen Email
Xiaofan Song Email
Hui Wang Email
Pingping Bai Email
Huanruo Qi Email
Yiming Qian Email
Haojie Zhang Email
Yunhao Han Email