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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao European Transaction...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
European Transactions on Telecommunications
Article . 2005 . Peer-reviewed
License: Wiley Online Library User Agreement
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DBLP
Article . 2020
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Heuristic methods for topological design of telecommunication networks

Authors: Piotr Karas; Andrzej Myslek;

Heuristic methods for topological design of telecommunication networks

Abstract

AbstractThe paper addresses a generic topological network design problem. The target of the optimisation is to determine a network structure and a demand allocation pattern that would minimise the cost of the network, given a list of potential node locations and a list of admissible interconnections between these nodes. Since the problem is known to be NP‐hard, use of specialised heuristic algorithms is proposed. Presented approaches encompass original ideas as well as selected methods described in literature and their enhancements. The algorithms are based on the following concepts and methods: individual and bulk flow shifting, methods based on Minoux and Yaged heuristics, Simulated Allocation, cost function modification and Hybrid GRASP. A numerical study enables us to draw conclusions on the efficiency of the methods. Copyright © 2005 AEIT.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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