The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy

Paul M. Godley, David E. Cairns, Julie Cowie, Kevin M. Swingler, John McCall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 ftness 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.
Original languageEnglish
Title of host publicationProceedings of the 10th annual conference on Genetic and evolutionary computation
EditorsMaarten Keijzer
Place of PublicationNew York
PublisherACM
Pages1105-1106
Number of pages2
ISBN (Print)9781605581309
DOIs
Publication statusPublished - 30 Nov 2007

Keywords

  • Optimal Control
  • Chemotherapy
  • Crossover
  • Genetic Algorithms
  • Genetics Mathematical models
  • Control theory
  • Genetics Computer simulation

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