|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Authors:||Godley, Paul Michael|
|Title:||The Effects of Mutation and Directed Intervention Crossover When Applied to Scheduling Chemotherapy|
|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 Maarten (ed.) Proceedings of the 10th annual conference on Genetic and evolutionary computation (GECCO), New York, USA: Association for Computing Machinery (ACM). ACM Genetic and Evolutionary Computation Conference (GECCO) 2008, Atlanta, Georgia, pp. 1105-1106.|
|Conference Name:||ACM Genetic and Evolutionary Computation Conference (GECCO) 2008|
|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.|
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