Wireless information networks
Evolving Cellular Automata for Location Management in Mobile Computing Networks
IEEE Transactions on Parallel and Distributed Systems
Scatter Search: Methodology and Implementations in C
Scatter Search: Methodology and Implementations in C
A Genetic Algorithm for Finding Optimal Location Area Configurations for Mobility Management
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
Location management for next-generation personal communications networks
IEEE Network: The Magazine of Global Internetworking
Solving the location areas scheme in realistic networks by using a multi-objective algorithm
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
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The Location Areas scheme is one of the most common strategies to solve the location management problem, which corresponds to the management of the mobile network configuration with the objective of minimizing the involved costs. This paper presents a new approach that uses a Scatter Search based algorithm applied to the Location Areas scheme as a cost optimization problem. With this work we pretend to analyze and set the main parameters of scatter search, using four distinct test networks and compare our results with those achieved by other authors. This is a new approach to this problem and the results obtained are very encouraging because they show that the proposed technique outperforms the existing methods in the literature.