@inbook{722a543f69f142469f659401cd563335,
title = "A symbolic regression approach to manage femtocell coverage using grammatical genetic programming",
abstract = "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.",
keywords = "femtocell, grammatical evolution, symbolic regression, wireless networks",
author = "Erik Hemberg and Lester Ho and Michael O'Neill and Holger Claussen",
year = "2011",
doi = "10.1145/2001858.2002061",
language = "English",
isbn = "9781450306904",
series = "Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication",
pages = "639--646",
booktitle = "Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication",
note = "13th Annual Genetic and Evolutionary Computation Conference, GECCO'11 ; Conference date: 12-07-2011 Through 16-07-2011",
}