Research on the Optimal Communication Mode Selection Based on Pareto Optimization

This paper addresses the inefficiencies in human-composed communication mode forms and the unreasonable allocation of communication resources in the Foshan Power Grid. It requires software automation to generate forms, incorporating automatic mode type recognition, cross-system resource queries, routing analysis, and resource allocation modules to effectively improve the automation of communication business access. Routing analysis is the most crucial part of the form generation. This paper proposes an optimal communication routing selection algorithm based on Pareto optimization. By deeply exploring the principles of Pareto optimization, especially in routing analysis, multi-objective optimization is used to balance several key indicators (efficiency, safety, redundancy) in communication mode selection. Experiments show that the Pareto optimization-based automatic form generator provides routing results close to those manually selected, solving key challenges in the further design of automated communication mode robots.