QoS routing optimization strategy using genetic algorithm in optical fiber communication networks
Journal of Computer Science and Technology
Cost-optimal topology planning of hierarchical access networks
Computers and Operations Research
Designing cellular networks using a parallel hybrid metaheuristic on the computational grid
Computer Communications
Cellular network configuration with co-channel and adjacent-channel interference constraints
Computers and Operations Research
Harmony search based algorithms for bandwidth-delay-constrained least-cost multicast routing
Computer Communications
The complexity of base station positioning in cellular networks
Discrete Applied Mathematics
Near optimal citywide WiFi network deployment using a hybrid grouping genetic algorithm
Expert Systems with Applications: An International Journal
New neural network based mobile location estimation in a metropolitan area
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
A scatter search approach for solving the automatic cell planning problem
LSSC'09 Proceedings of the 7th international conference on Large-Scale Scientific Computing
IEEE Transactions on Evolutionary Computation
Expert Systems with Applications: An International Journal
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Electromagnetic pollution due to mobile telephony is one of the most concerning problems arising since the spreading of this technology. Different studies have shown the relationship between continuous exposition to electromagnetic fields and different kinds of pathologies. Despite this, the electromagnetic danger for exposition is not taken into account in recent mobile network deployments. In this paper we propose a novel evolutionary algorithm for mobile networks deployment, which takes into account the control of the electromagnetic emission from the base stations as one of the key design parameters. The proposed evolutionary approach is a variable-length algorithm, able to produce solutions with different number of base stations. We detail the encoding, operators and a repairing procedure applied to obtain good solutions in terms of coverage, cost and electromagnetic pollution. The algorithm has been tested in a real problem of mobile network deployment in Alcala de Henares, Madrid, Spain, and compare with a greedy (constructive) approach and a meta-heuristic algorithm (Harmony Search), obtaining very good results.