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Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Godley, Paul Michael
Cairns, David
Cowie, Julie
McCall, John
Swingler, Kevin
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Title: The Effects of Mutation and Directed Intervention Crossover When Applied to Scheduling Chemotherapy
Editor(s): Keijzer, Maarten
Citation: Godley PM, Cairns D, Cowie J, McCall J & Swingler K (2008) The Effects of Mutation and Directed Intervention Crossover When Applied to Scheduling Chemotherapy In: Keijzer M (ed.) Proceedings of the 10th annual conference on Genetic and evolutionary computation (GECCO). ACM Genetic and Evolutionary Computation Conference (GECCO) 2008, New York, USA, 12.07.2008-16.07.2008. New York, USA: Association for Computing Machinery (ACM), pp. 1105-1106.;
Issue Date: 2008
Conference Name: ACM Genetic and Evolutionary Computation Conference (GECCO) 2008
Conference Dates: 2008-07-12 - 2008-07-16
Conference Location: Atlanta, Georgia
Abstract: This paper discusses the effects of mutation and directed intervention crossover approaches when applied to the derivation of cancer chemotherapy treatment schedules. Unlike traditional Uniform Crossover (UC), the directed intervention techniques actively choose the intervention level based on the fitness of the parents selected for crossover. This work describes how directed intervention crossover principles are more robust to mutation and lead to significant improvement over UC when applied to cancer chemotherapy treatment scheduling.
Status: VoR - Version of Record
Rights: Copyright ACM; The publisher does not allow this work to be made publicly available in this Repository; therefore, this item has been embargoed. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.

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