Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22054
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Burles, Nathan
Swan, Jerry
Bowles, Edward
Brownlee, Alexander
Attila, Kocsis Zoltan
Veerapen, Nadarajen
Contact Email: nve@cs.stir.ac.uk
Title: Embedded Dynamic Improvement
Editors: Silva, S
Citation: Burles N, Swan J, Bowles E, Brownlee A, Attila Kocsis Z & Veerapen N (2015) Embedded Dynamic Improvement In: Silva S (ed.) GECCO Companion '15 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference , New York: ACM. GECCO '15 Genetic and Evolutionary Computation Conference 2015, 11.7.2015 - 15.7.2015, Madrid, Spain, pp. 831-832.
Issue Date: 2015
Conference Name: GECCO '15 Genetic and Evolutionary Computation Conference 2015
Conference Dates: 2015-07-11T00:00:00Z
Conference Location: Madrid, Spain
Abstract: We discuss the useful role that can be played by a subtype of improvement programming, which we term 'Embedded Dynamic Improvement'. In this approach, developer-specified variation points define the scope of improvement. A search framework is embedded at these variation points, facilitating the creation of adaptive software that can respond online to changes in its execution environment.
Type: Conference Paper
Status: Book Chapter: author post-print (pre-copy editing)
Rights: Publisher policy allows this work to be made available in this repository. Published in GECCO Companion '15 Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference by ACM. The original publication is available at: http://dl.acm.org/citation.cfm?doid=2739482.2768423
URI: http://hdl.handle.net/1893/22054
URL: http://doi.org/10.1145/2739482.2768423
Affiliation: University of York
University of York
University of York
Computing Science - CSM Dept
Computing Science and Mathematics
Computing Science - CSM Dept

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