05735820

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05735820 Zdunek, Rafa{\l} Ignor, Tomasz UMTS base station location planning with invasive weed optimization. Rutkowski, Leszek (ed.) et al., Artifical intelligence and soft computing. 10th international conference, ICAISC 2010, Zakopane, Poland, June 13--17, 2010. Part II. Berlin: Springer (ISBN 978-3-642-13231-5/pbk). Lecture Notes in Computer Science 6114. Lecture Notes in Artificial Intelligence, 698-705 (2010). 2010 Berlin: Springer EN

doi:10.1007/978-3-642-13232-2_86

Summary: The problem of finding optimal locations of base stations, their pilot powers and channel assignments in UMTS mobile networks belongs to a class of NP-hard problems, and hence, metaheuristics optimization algorithms are widely used for this task. Invasive Weed Optimization (IWO) algorithm is relatively novel and succussed in several real-world applications. Our experiments demonstrate that the IWO algorithm outperforms the algorithms such as Evolutionary Strategies (ES) and Genetic Algorithms (GA) for optimizing the UMTS mobile network.