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

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	GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008
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	https://doi.org/10.1145/1389095.1389300
Publication status	Published - 30 Nov 2007
Externally published	Yes
Event	10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008 - Atlanta, GA, United States Duration: 12 Jul 2008 → 16 Jul 2008

Conference

Conference	10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008
Country/Territory	United States
City	Atlanta, GA
Period	12/07/08 → 16/07/08

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Software

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Documents and Links

10.1145/1389095.1389300

Cite this

Godley, P. M., Cairns, D. E., Cowie, J., Swingler, K. M., & McCall, J. (2007). The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. In M. Keijzer (Ed.), GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008 (pp. 1105-1106). Association for Computing Machinery (ACM). https://doi.org/10.1145/1389095.1389300

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title = "The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy",

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.",

author = "Godley, {Paul M.} and Cairns, {David E.} and Julie Cowie and Swingler, {Kevin M.} and John McCall",

year = "2007",

month = nov,

day = "30",

doi = "10.1145/1389095.1389300",

language = "English",

isbn = "9781605581309",

pages = "1105--1106",

editor = "Maarten Keijzer",

booktitle = "GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008 ; Conference date: 12-07-2008 Through 16-07-2008",

}

Godley, PM, Cairns, DE, Cowie, J, Swingler, KM & McCall, J 2007, The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. in M Keijzer (ed.), GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008. Association for Computing Machinery (ACM), New York, pp. 1105-1106, 10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008, Atlanta, GA, United States, 12/07/08. https://doi.org/10.1145/1389095.1389300

The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. / Godley, Paul M.; Cairns, David E.; Cowie, Julie et al.
GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008. ed. / Maarten Keijzer. New York: Association for Computing Machinery (ACM), 2007. p. 1105-1106.

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

TY - GEN

T1 - The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy

AU - Godley, Paul M.

AU - Cairns, David E.

AU - Cowie, Julie

AU - Swingler, Kevin M.

AU - McCall, John

PY - 2007/11/30

Y1 - 2007/11/30

N2 - 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.

AB - 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.

U2 - 10.1145/1389095.1389300

DO - 10.1145/1389095.1389300

M3 - Conference contribution

SN - 9781605581309

SP - 1105

EP - 1106

BT - GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

A2 - Keijzer, Maarten

PB - Association for Computing Machinery (ACM)

CY - New York

T2 - 10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008

Y2 - 12 July 2008 through 16 July 2008

ER -

Godley PM, Cairns DE, Cowie J, Swingler KM, McCall J. The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. In Keijzer M, editor, GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008. New York: Association for Computing Machinery (ACM). 2007. p. 1105-1106 doi: 10.1145/1389095.1389300

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

Abstract

Conference

ASJC Scopus subject areas

UN SDGs

Documents and Links

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Cite this