Concentrator Location in Telecommunications Networks: 16 (Combinatorial Optimization)

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Combinatorial Optimization | Tanum nettbokhandel

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In this study, the CCLA problem is modeled as a single-source capacitated location-allocation model whose optimization objective is to determine the minimum network cost consisting of fixed costs for establishing the locations of concentrators, costs for operating concentrators and costs for allocating terminals to concentrators.

The problem is known as a difficult combinatorial optimization problem for which powerful algorithms are required. Our approach proposes a Fuzzy Genetic Algorithm combined with a local search procedure to calculate the optimal values of the location and allocation variables.


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To confirm the efficiency of the proposed algorithm with respect to the quality of solutions, significant size test problems were considered: The performance of this hybrid intelligent algorithm was evaluated by measuring the quality of its solutions with respect to the following statistics: Content from this work may be used under the terms of the Creative Commons Attribution 3. S Dinu 1 and V Ciucur 1.

Concentrator Location in Telecommunications Networks

Buy this article in print. Sign up for new issue notifications. When designing a telecommunications network topology, three types of interdependent decisions are combined: Including these three components of the decision into a single model generates a problem whose complexity makes it difficult to solve. A first method to address the overall problem is the sequential one, whereby the first step deals with the location-allocation problem and based on this solution the subsequent sub-problem routing the network traffic shall be solved.