Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7662

@InProceedings{Fenton:2017:GECCO,

• author = "Michael Fenton and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill",
• title = "Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "3--4",
• size = "2 pages",
• URL = "http://doi.acm.org/10.1145/3067695.3084378",
• DOI = "doi:10.1145/3067695.3084378",
• acmid = "3084378",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, evolutionary computation, grammatical genetic programming, wireless communications networks",
• month = "15-19 " # jul,
• abstract = "Wireless communications networks are a global trillion dollar industry, where small improvements can scale to provide significant cost savings to networks operators. In a field full of NP-hard optimisation problems, heuristic optimisation techniques such as Evolutionary Computation offer a means to provide bespoke, scalable solutions. Grammatical Genetic Programming is applied to optimise three aspects of an LTE Heterogeneous Network: setting optimal Small Cell powers and biases, Macro Cell ABS patterns, and Small Cell scheduling. The evolved heuristics yield minimum downlink rates three times greater than a baseline technique, and twice that of a state-of-the-art industry standard benchmark. This work appears in full in Fenton et al., {"}Multilayer Optimization of Heterogeneous Networks using Grammatical Genetic Programming{"}, IEEE Transactions on Cybernetics, 2017. DOI: 10.1109/TCYB.2017.2688280.",
• notes = "Also known as \cite{Fenton:2017:MOH:3067695.3084378} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",

}

Genetic Programming entries for Michael Fenton David Lynch Stepan Kucera Holger Claussen Michael O'Neill

Citations