Conference Proceeding

The Effects of Mutation and Directed Intervention Crossover When Applied to Scheduling Chemotherapy

Details

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, Atlanta, Georgia, 12.07.2008-16.07.2008. New York, USA: Association for Computing Machinery (ACM), pp. 1105-1106. http://portal.acm.org/toc.cfm?id=1389095&type=proceeding&coll=GUIDE&dl=GUIDE&CFID=47644191&CFTOKEN=12932833; https://doi.org/10.1145/1389095.1389300

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; Genetics Mathematical models; Control theory; Genetics Computer simulation

StatusPublished
Publication date31/12/2008
URLhttp://hdl.handle.net/1893/1527
Related URLshttp://www.sigevo.org/gecco-2008/
PublisherAssociation for Computing Machinery (ACM)
Publisher URLhttp://portal.acm.org/…CFTOKEN=12932833
Place of publicationNew York, USA
ISBN978-1-60558-130-9
ConferenceACM Genetic and Evolutionary Computation Conference (GECCO) 2008
Conference locationAtlanta, Georgia
Dates

People (3)

People

Dr David Cairns
Dr David Cairns

Lecturer, Computing Science

Dr Julie Cowie
Dr Julie Cowie

Senior Research Fellow, NMAHP

Dr Kevin Swingler
Dr Kevin Swingler

Head of Division of CSM, Computing Science