Research and Application of Intelligent Compilation of Communication Modes Base on Multi-Objective Optimization

In the core operations and maintenance domain, such as business routing planning, it mainly relies on human experience. This traditional approach struggles to meet the requirements of high security and high reliability of modern power communication networks when dealing with increasingly complex and large-scale power communication networks. A business route planning model for power communication networks based on multi-objective optimization algorithms is proposed. By collecting various resource data from the power communication management system and combining multi-objective optimization algorithms, business routing is planned. The study compares the experimental results of different algorithms, showing that the multi-objective particle swarm optimization algorithm demonstrates better efficiency and accuracy in routing planning.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icaace65325.2025.11020435
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.00
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Research and Application of Intelligent Compilation of Communication Modes Base on Multi-Objective Optimization

Shih‐Hao Huang, Youxia Yang, Pengyu Zhu, Yongxin Li et al.
Simulation and Modeling Applications
article

Research and Application of Intelligent Compilation of Communication Modes Base on Multi-Objective Optimization

Shih‐Hao Huang, Youxia Yang, Pengyu Zhu, Yongxin Li, Ruotong Yu, Shengbin Qi
article en

Abstract

In the core operations and maintenance domain, such as business routing planning, it mainly relies on human experience. This traditional approach struggles to meet the requirements of high security and high reliability of modern power communication networks when dealing with increasingly complex and large-scale power communication networks. A business route planning model for power communication networks based on multi-objective optimization algorithms is proposed. By collecting various resource data from the power communication management system and combining multi-objective optimization algorithms, business routing is planned. The study compares the experimental results of different algorithms, showing that the multi-objective particle swarm optimization algorithm demonstrates better efficiency and accuracy in routing planning.

Openalex Percentile: Top 86%
Simulation and Modeling Applications
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