Paper Info
Title
A multi-objective approach to solve the location areas problem
Abstract
The Public Land Mobile Networks (PLMN) are designed to provide anywhere, any kind, and anytime services to either static or moving users, therefore mobile location management is a fundamental tool in these systems. One of the techniques used in mobile location management is the location areas strategy, which set out the problem as an optimization problem with two costs, location update and paging. In this paper we resort to a multi-objective evolutionary algorithm, Non-dominated Sorting Genetic Algorithm II (NSGA-II), for finding quasi-optimal solutions of this optimization problem. At present, there is not any previous work that addresses the problem in a multi-objective manner, so we compare our results with those obtained by mono-objective algorithms from other authors. Results show that, for this problem, better solutions are achieved when each objective is treated separately.
Year
DOI
Venue
2012
10.1007/978-3-642-33860-1_7
TPNC
Keywords
Field
DocType
location update,location areas strategy,location areas problem,multi-objective approach,genetic algorithm ii,optimization problem,multi-objective evolutionary algorithm,multi-objective manner,mobile location management,better solution,public land mobile networks,fundamental tool,multi objective optimization
Mathematical optimization,Evolutionary algorithm,Public land mobile network,Multi-objective optimization,Facility location problem,Paging,Geography,Optimization problem,1-center problem,Genetic algorithm
Conference
Citations 
PageRank 
References 
3
0.39
8
Authors
4
Name
Order
Citations
PageRank
Víctor Berrocal-Plaza1266.57
Miguel A. Vega-Rodríguez2741113.05
Juan Manuel Sánchez-Pérez327830.84
Juan A. Gómez-Pulido420221.36