@inproceedings{4b5a4bc976c44feab3d17e885337cf43,
title = "Spare capacity planning for survivable mesh networks",
abstract = "The design of survivable mesh based STM networks has received considerable attention in recent years and is a complex multi-constraint optimization problem. In this paper, a new spare capacity planning methodology is proposed utilizing genetic algorithms. The method is based on forcing flows/traffic which are on paths that are disjoint to share backup spare capacity. The major advantages of the new approach are a polynomial time complexity and the capability of incorporating nonlinear variables such as nonlinear cost functions into the solution algorithm. Numerical results illustrating the form of the genetic algorithm solution and comparing the proposed methodology to existing techniques from the literature are presented.",
author = "Adel Al-Rumaih and David Tipper and Yu Liu and Norman, {Bryan A.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; IFIP-TC6/European Commission International Conference on Networking, NETWORKING 2000 ; Conference date: 14-05-2000 Through 19-05-2000",
year = "2000",
doi = "10.1007/3-540-45551-5_80",
language = "English",
isbn = "354067506X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "957--968",
editor = "Guy Pujolle and Harry Perros and Serge Fdida and Ulf Korner and Ioannis Stavrakakis",
booktitle = "NETWORKING 2000",
}