- author = "Erik Hemberg and Lester Ho and Michael O'Neill and Holger Claussen",
- title = "A symbolic regression approach to manage femtocell coverage using grammatical genetic programming",
- booktitle = "3rd symbolic regression and modeling workshop for GECCO 2011",
- year = "2011",
- editor = "Steven Gustafson and Ekaterina Vladislavleva",
- isbn13 = "978-1-4503-0690-4",
- keywords = "genetic algorithms, genetic programming, grammatical evolution",
- pages = "639--646",
- month = "12-16 " # jul,
- organisation = "SIGEVO",
- address = "Dublin, Ireland",
-
DOI = "
doi:10.1145/2001858.2002061",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- 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.",
-
notes = "Also known as \cite{2002061} Distributed on CD-ROM at
GECCO-2011.
ACM Order Number 910112.",
