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A Scatter Search Approach for Solving the Automatic Cell Planning Problem

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5910))

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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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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

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12534-8

  • Online ISBN: 978-3-642-12535-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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