UMTS Base Station Location Planning with Invasive Weed Optimization

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.

• Type: Conference
• Year: 2010
• Where: ICAISC
• Authors: Rafal Zdunek, Tomasz Ignor
• Keywords: Algorithms, Artificial Intelligence, ICAISC 2010, Metaheuristics Optimization Algorithms, Umts Mobile Network