@inproceedings{64e9d8e2d2ff46378bc6673a8dbe92e0,
title = "MPLS network topology design using genetic algorithms",
abstract = "This paper addresses the application of genetic algorithms (GA) to the optimal topology design of MPLS networks. This problem is a highly constrained optimization problem for which exact solution approaches do not scale well. We first use a layered model and decompose the MPLS topology design as a set of linear programs. Then, we propose a heuristic approach based on genetic algorithms for solving them. Simulation results show that the proposed approach is effective and give optimal or close to optimal solutions for the tested cases.",
author = "El-Alfy, \{El Sayed M.\}",
year = "2006",
doi = "10.1109/aiccsa.2006.205218",
language = "English",
isbn = "1424402123",
series = "IEEE International Conference on Computer Systems and Applications, 2006",
publisher = "IEEE Computer Society",
pages = "1059--1065",
booktitle = "IEEE International Conference on Computer Systems and Applications, 2006",
address = "United States",
}