Intelligent Routing in IP-Based Networks: A New Approach using Learning Classifier Systems

This paper is concerned with automatic routing table generation in IP-based networks. Evolutionary Learning Classifier Systems (LCS) is employed to generate a population of routing tables. The Evolutionary Router (ER) is designed to evolve a near optimal routing table. The results obtained from using ER in a simulated network is presented and discussed.

کلیدواژه ها:

Learning Classifiers ، Intelligent Routing ، IP-Based Networks ، Genetic Algorithms ، Machine Learning