Neural Networks for Dynamic Shortest Path Routing Problems - A Survey
Neural and Evolutionary Computing
2010-06-01 v2 Artificial Intelligence
Abstract
This paper reviews the overview of the dynamic shortest path routing problem and the various neural networks to solve it. Different shortest path optimization problems can be solved by using various neural networks algorithms. The routing in packet switched multi-hop networks can be described as a classical combinatorial optimization problem i.e. a shortest path routing problem in graphs. The survey shows that the neural networks are the best candidates for the optimization of dynamic shortest path routing problems due to their fastness in computation comparing to other softcomputing and metaheuristics algorithms
Cite
@article{arxiv.0911.2865,
title = {Neural Networks for Dynamic Shortest Path Routing Problems - A Survey},
author = {R. Nallusamy and K. Duraiswamy},
journal= {arXiv preprint arXiv:0911.2865},
year = {2010}
}
Comments
This article has been withdrawn by the authors. Misplaced equation 1