Multi-Objective Optimization for Submarine Cable Route Planning Based on the Ant Colony Optimization Algorithm

• DOI: 10.3390/photonics10080896
• Publication Date: 2023-08-03T15:35:21Z
• Authors: Zanshan Zhao; Jingting Wang; Guanjun Gao; Haoyu Wang; Daobin Wang
• Keywords: ant colony optimization; multi-objective optimization; submarine cable route planning; multi-objective optimization; ant colony optimization; submarine cable route planning; 0202 electrical engineering, electronic engineering, information engineering; Applied optics. Photonics; 02 engineering and technology; TA1501-1820

It is essential to design an appropriate submarine cable route to reduce costs and improve reliability. A methodology that can be used for multi-objective optimization in submarine cable route planning is proposed and numerically studied in this paper. The costs and risks are numerically assessed and mapped to the geographical map. The pheromone and heuristic functions of the ant colony optimization (ACO) algorithm are associated with the geographical map of costs and risks, which enables it to search for a submarine cable route with multi-objective optimization. The results show that the submarine cable route designed by the methodology can effectively avoid high-cost and high-risk regions, which means that the designed submarine cable route is cost-effective and highly reliability.