Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Self-Optimization of femtocell coverage to minimize the increase in core network mobility signalling
Bell Labs Technical Journal - Core and Wireless Networks
Foundations in Grammatical Evolution for Dynamic Environments
Foundations in Grammatical Evolution for Dynamic Environments
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
Grammar-based Genetic Programming: a survey
Genetic Programming and Evolvable Machines
An analysis of the behaviour of mutation in grammatical evolution
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
IEEE Communications Magazine
Comparing the robustness of grammatical genetic programming solutions for femtocell algorithms
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Evolving femtocell algorithms with dynamic and stationary training scenarios
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
A comparison of grammatical genetic programming grammars for controlling femtocell network coverage
Genetic Programming and Evolvable Machines
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We present a novel application of Grammatical Evolution to the real-world application of femtocell coverage. A symbolic regression approach is adopted in which we wish to uncover an expression to automatically manage the power settings of individual femtocells in a larger femtocell group to optimise the coverage of the network under time varying load. The generation of symbolic expressions is important as it facilitates the analysis of the evolved solutions. Given the multi-objective nature of the problem we hybridise Grammatical Evolution with NSGA-II connected to tabu search. The best evolved solutions have superior power consumption characteristics than a fixed coverage femtocell deployment.