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Traffic engineering in multi-service networks based on computational intelligence

Research output: Chapter in Book/Report/Conference proceedingConference contribution

In this paper, three new methods for the solution of the off-line Traffic Engineering problem in multi-service networks based on computational intelligence are presented, In the first method the off-line TE problem is formulated as an optimisation model with linear constraints and then solved using a modified version of the Genetic Algorithm for Numerical Optimisation for Constraint Problems (GENOCOP), Besides, a hybrid method for the solution of the aforementioned problem involving GENOCOP and a heuristic TE algorithm is also provided, In the third method the off-line TE optimisation problem is solved using a special constrained simulated annealing algorithm, The performance of the above methods against a standard optimisation method based on Linear Programming is examined through a series of tests and numerical results are provided.

Original languageEnglish
Title of host publicationIWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing (SSIP-SPI, 2005), Chalkida, Greece, 22-24 Sept 2005
EditorsD.A. Karras, S. Voliotis, M. Rangoussi, A. Kokkosis
PublisherInderscience Publishers
Pages151-156
Number of pages6
ISBN (Print)0907776205, 9780907776208
Publication statusPublished - 1 Dec 2005
EventIWSSIP 2005 - 12th International Workshop on Systems, Signals and Image Processing(SSIP-SPI, 2005) - Chalkida, Greece
Duration: 22 Sep 200524 Sep 2005

Publication series

NameIWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing

Conference

ConferenceIWSSIP 2005 - 12th International Workshop on Systems, Signals and Image Processing(SSIP-SPI, 2005)
CountryGreece
CityChalkida
Period22/09/0524/09/05

Related information

Relations Get citation (various referencing formats)

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