Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Fenton:2017:GECCO,
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author = "Michael Fenton and David Lynch and Stepan Kucera and
Holger Claussen and Michael O'Neill",
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title = "Multilayer Optimization of Heterogeneous Networks
Using Grammatical Genetic Programming",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference Companion",
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series = "GECCO '17",
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year = "2017",
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isbn13 = "978-1-4503-4939-0",
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address = "Berlin, Germany",
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pages = "3--4",
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size = "2 pages",
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URL = "http://doi.acm.org/10.1145/3067695.3084378",
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DOI = "doi:10.1145/3067695.3084378",
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acmid = "3084378",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, evolutionary
computation, grammatical genetic programming, wireless
communications networks",
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month = "15-19 " # jul,
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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.",
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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