Research output

Conference Paper (in Formal Publication) ()

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, 12.7.2008 - 16.7.2008, Atlanta, Georgia, pp. 1105-1106.

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.

Keywords
Optimal Control; Chemotherapy; Crossover; Genetic Algorithms

Subject headings
Genetics Mathematical models; Control theory; Genetics Computer simulation

StatusPublished
EditorKeijzer Maarten
AuthorsGodley Paul Michael, Cairns David, Cowie Julie, McCall John, Swingler Kevin
Publication date2008
URLhttp://portal.acm.org/…CFTOKEN=12932833
PublisherAssociation for Computing Machinery (ACM)
Place of publicationNew York, USA
ISBN 978-1-60558-130-9
LanguageEnglish
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