Abstract
Planning a cellular phone network makes engineers to face a number of challenging optimization problems. This paper addresses the solution of one of these problems, Automatic Cell Planning (ACP), which lies in positioning the antennae of the network and configuring them properly in order to meet several objectives and constraints. This paper approaches, for the first time, the ACP problem with a Scatter Search technique. The algorithm used is called AbYSS. Three large-scale real-world instances have been used for evaluating the search capabilities of AbYSS on this optimization problem. The results shows that AbYSS not only reaches very accurate solutions for the three instances, but also it scales well with increasingly sized instances.
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References
Coello, C.A., Lamont, G.B., Veldhuizen, D.A.V.: Evolutionary Algorithms for Solving Multi-Objective Problems, 2nd edn. Genetic and Evolutionary Computation Series. Springer, Heidelberg (2007)
Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons, Chichester (2001)
Glover, F.: A template for Scatter Search and Path Relinking. In: Hao, J.-K., Lutton, E., Ronald, E., Schoenauer, M., Snyers, D. (eds.) AE 1997. LNCS, vol. 1363, pp. 13–54. Springer, Heidelberg (1998)
Knowles, J., Corne, D.: The pareto archived evolution strategy: A new baseline algorithm for multiobjective optimization. In: IEEE CEC, pp. 9–105. IEEE Press, Los Alamitos (1999)
Knowles, J.D., Thiele, L., Zitzler, E.: A tutorial on the performance assessment of stochastic multiobjective optimizers. Technical Report TIK-Report 214, Computer Engineering and Networks Laboratory, ETH Zurich (2006)
Luna, F.: Metaheurísticas avanzadas para problemas reales en redes de telecomunicaciones (in Spanish). PhD thesis, University of Málaga (2008)
Luna, F., Nebro, A.J., Alba, E.: Parallel evolutionary multiobjective optimization. In: Nedjah, N., Alba, E., de Macedo, L. (eds.) Parallel Evolutionary Computations. Studies in Computational Intelligence, vol. 22, pp. 33–56. Springer, Heidelberg (2006)
Meunier, H., Talbi, E.G., Reininger, P.: A multiobjective genetic algorithm for radio network optimization. In: IEEE CEC, pp. 317–324. IEEE Press, Los Alamitos (2000)
Nebro, A.J., Luna, F., Alba, E., Dorronsoro, B., Durillo, J.J., Beham, A.: AbYSS: Adapting scatter search to multiobjective optimization. IEEE Transactions on Evolutionary Computation 12(4), 439–457 (2008)
Raisanen, L.: Multi-objective site selection and analysis for GSM cellular network planning. PhD thesis, Cardiff University (2006)
Reininger, P., Caminada, A.: Model for GSM radio network optimization. In: 2nd ACM Int. Conf. on Discrete Algorithms and Methods for Mobility. ACM Sigmobile, pp. 35–42 (1998)
Resende, M.G.C., Pardalos, P.M. (eds.): Handbook of Optimization in Telecommunications. Springer, Heidelberg (2006)
Talbi, E.G., Meunier, H.: Hierarchical parallel approach for GSM mobile network design. Journal of Parallel and Distributed Computing 66(2), 274–290 (2006)
Zitzler, E., Thiele, L.: Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach. IEEE Transactions on Evolutionary Computation 3(4), 257–271 (1999)
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Luna, F., Durillo, J.J., Nebro, A.J., Alba, E. (2010). A Scatter Search Approach for Solving the Automatic Cell Planning Problem. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2009. Lecture Notes in Computer Science, vol 5910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12535-5_39
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DOI: https://doi.org/10.1007/978-3-642-12535-5_39
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