A Novel Metaheuristic Algorithm for Network Topology Optimization

Abstract

The goal of network topology optimization is to enhance the scalability, dependability, and effectiveness of intricate network systems found in telecommunications, transportation, and power system sectors. Traditional optimization techniques often face challenges like excessive computational requirements, early convergence, and an inability to adjust to demanding network environments. This paper introduces a new metaheuristic algorithm designed to enhance network topologies efficiently within specified constraints. The suggested method combines flexible exploration with effective solution improvement to produce nearly optimal results with limited computational resources. This algorithm ensures that exploration takes place without any focus on exploitation by incorporating new operators designed for optimizing networks and enhancing iterative improvement procedures. The theoretical analysis shows the way the procedure's convergence properties improve its computational efficiency when compared to other existing methods. The mathematical formulation of the question includes various objectives like minimizing costs, enhancing connectivity, and ensuring fault tolerance within the limitations of the network. The algorithm's design and key components are thoroughly examined, including its potential advantages in theory, and a pseudocode example is included for better understanding.Moreover, real-world applications like 5G networks, smart grids, and logistics are explored to show their practical utility.This research contributes to network optimization with a robust, scalable, and flexible algorithm that fills the gaps and prepares the groundwork for future developments. Future work will extend the algorithm to multi-objective and dynamic environments, machine learning for better adaptability, and large-scale experimental evaluations of its performance over several network types. The current paper may be the start of far more intelligent and effective network optimization solutions for community effectiveness in an ever more interconnected world.