Network Routing Optimization Using Swarm Intelligence
Mohamed A. El Galil
TL;DR
This paper explores using swarm intelligence techniques to optimize network routing, specifically focusing on the minimum spanning tree and shortest path problems, integrating operations research, discrete mathematics, and evolutionary computing.
Contribution
It introduces a novel approach combining swarm intelligence with traditional network routing problems to improve optimization strategies.
Findings
Demonstrates effectiveness of swarm intelligence in network routing optimization
Provides a new interdisciplinary framework for solving routing problems
Shows potential for improved efficiency over classical methods
Abstract
The aim of this paper is to highlight and explore a traditional problem, which is the minimum spanning tree, and finding the shortest-path in network routing, by using Swarm Intelligence. This work to be considered as an investigation topic with combination between operations research, discrete mathematics, and evolutionary computing aiming to solve one of networking problems.
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Taxonomy
TopicsMetaheuristic Optimization Algorithms Research · Evolutionary Algorithms and Applications · Energy Efficient Wireless Sensor Networks