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 language | English |
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Title of host publication | Proceedings of the 10th annual conference on Genetic and evolutionary computation |
Editors | Maarten Keijzer |
Place of Publication | New York |
Publisher | Association for Computing Machinery (ACM) |
Pages | 1105-1106 |
Number of pages | 2 |
ISBN (Print) | 9781605581309 |
DOIs | |
Publication status | Published - 30 Nov 2007 |
Keywords
- Optimal Control
- Chemotherapy
- Crossover
- Genetic Algorithms
- Genetics Mathematical models
- Control theory
- Genetics Computer simulation
ASJC Scopus subject areas
- Genetics