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

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چکیده

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

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ژورنال

عنوان ژورنال: Photonics

سال: 2023

ISSN: ['2304-6732']

DOI: https://doi.org/10.3390/photonics10080896