Abstract
In this paper, we address the problem of planning the universal mobile telecommunication system (UMTS) base stations location for uplink direction. The objective is to maximize the total trafic covered f and minimize the total installation cost g. This problem is modelled in the form of multi-objective optimization problem that can be transformed into a mono-objective problem of the form f + λg, where λ > 0 is a trade-off parameter between the objective functions f and g. Our aim here is to present a solution method to the problem based on a genetic algorithm (GA), which automates the choice of the parameter λ by varying it at each iteration of the algorithm. To apply the GA to our problem, we have proposed a special coding that combines the binary and integer coding. To validate the proposed method some numerical examples are given. The obtained results show the efficiency of our approach.
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Gabli, M., Jaara, E.M., Mermri, E.B. (2013). Planning UMTS Base Station Location Using Genetic Algorithm with a Dynamic Trade-Off Parameter. In: Gramoli, V., Guerraoui, R. (eds) Networked Systems. NETYS 2013. Lecture Notes in Computer Science, vol 7853. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40148-0_9
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DOI: https://doi.org/10.1007/978-3-642-40148-0_9
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