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

doi:10.1145/1389095.1389300

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

NMAHP

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 10th annual conference on Genetic and evolutionary computation
Editors	Maarten Keijzer
Place of Publication	New York
Publisher	ACM
Pages	1105-1106
Number of pages	2
ISBN (Print)	9781605581309
DOIs	https://doi.org/10.1145/1389095.1389300
Publication status	Published - 30 Nov 2007

Keywords

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

Documents and Links

10.1145/1389095.1389300

http://hdl.handle.net/1893/1527

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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.",

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The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. / Godley, Paul M.; Cairns, David E.; Cowie, Julie; Swingler, Kevin M.; McCall, John.

Proceedings of the 10th annual conference on Genetic and evolutionary computation. ed. / Maarten Keijzer. New York : ACM, 2007. p. 1105-1106.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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KW - Crossover

KW - Genetic Algorithms

KW - Genetics Mathematical models

KW - Control theory

KW - Genetics Computer simulation

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