Using heuristic algorithms for capacity leasing and task allocation issues in telecommunication networks under fuzzy quality of service constraints |
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Authors: | Hasan Huseyin Turan Nihat Kasap Huseyin Savran |
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Affiliation: | 1. Department of Industrial Engineering , University of Yalova , Yalova 77100 , Turkey hturan@yalova.edu.tr hasan.turan@yalova.edu.tr;3. School of Management, Sabanc? University , Istanbul 34956 , Turkey;4. Department of Computer Engineering , University of Yalova , Yalova 77100 , Turkey |
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Abstract: | Nowadays, every firm uses telecommunication networks in different amounts and ways in order to complete their daily operations. In this article, we investigate an optimisation problem that a firm faces when acquiring network capacity from a market in which there exist several network providers offering different pricing and quality of service (QoS) schemes. The QoS level guaranteed by network providers and the minimum quality level of service, which is needed for accomplishing the operations are denoted as fuzzy numbers in order to handle the non-deterministic nature of the telecommunication network environment. Interestingly, the mathematical formulation of the aforementioned problem leads to the special case of a well-known two-dimensional bin packing problem, which is famous for its computational complexity. We propose two different heuristic solution procedures that have the capability of solving the resulting nonlinear mixed integer programming model with fuzzy constraints. In conclusion, the efficiency of each algorithm is tested in several test instances to demonstrate the applicability of the methodology. |
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Keywords: | telecommunications fuzzy quality of service bin packing heuristic algorithm |
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