Optimization of spare capacity in survivable WDM networks


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A network with restoration capability requires spare capacity to be used in the case of failure. Optimization of spare capacity is to find the minimum amount of spare capacity for the network to survive from network component failures. In this paper, this problem is investigated for wavelength division multiplexing (WDM) mesh networks without wavelength conversion. We propose a hybrid genetic algorithm approach (GA) for the problem. Simulated Annealing (SA) and Tabu Search (TS) are also applied to this problem for comparison purpose. Simulation results show very favorable results for the Genetic Algorithm approach.

Original languageEnglish
Title of host publicationGenetic and Evolutionary Computation : GECCO 2003 : Genetic and Evolutionary Computation Conference Chicago, IL, USA, July 12–16, 2003 Proceedings, Part II
EditorsErick CANTÚ-PAZ, James A. FOSTER, Graham KENDALL, Mark HARMAN, Dipankar DASGUPTA, Kalyanmoy DEB, Lawrence DAVID DAVIS, Rajkumar ROY, Una-May O'REILLY, Hans-Georg BEYER, Russell STANDISH, Stewart WILSON, Joachim WEGENER, Mitch A. POTTER, Alan C. SCHULTZ, Kathryn A. DOWSLAND, Natasha JONOSKA, Julian MILLER
Place of PublicationHeidelberg
PublisherSpringer Berlin
Number of pages2
ISBN (Print)9783540406037
Publication statusPublished - 2003
Externally publishedYes
Event2003 Genetic and Evolutionary Computation Conference - Chicago, United States
Duration: 12 Jul 200316 Jul 2003

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2003 Genetic and Evolutionary Computation Conference
Abbreviated titleGECCO 2003
Country/TerritoryUnited States


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