Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/2437
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Godley, Paul Michael
Cowie, Julie
Cairns, David
McCall, John
Howie, Catherine
Contact Email: dec@cs.stir.ac.uk
Title: Optimisation of cancer chemotherapy schedules using directed intervention crossover approaches
Citation: Godley PM, Cowie J, Cairns D, McCall J & Howie C (2008) Optimisation of cancer chemotherapy schedules using directed intervention crossover approaches In: IEEE Congress on Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence), Piscataway, NJ: IEEE (Institute of Electrical and Electronics Engineers). IEEE Congress on Evolutionary Computation 2008, CEC 2008, pp. 2532-2537.
Issue Date: Jun-2008
Series/Report no.: IEEE World Congress on Computational Intelligence
Conference Name: IEEE Congress on Evolutionary Computation 2008, CEC 2008
Abstract: This paper describes two directed intervention crossover approaches that are applied to the problem of deriving optimal cancer chemotherapy treatment schedules. Unlike traditional uniform crossover (UC), both the calculated expanding bin (CalEB) method and targeted intervention with stochastic selection (TInSSel) approaches actively choose an intervention level and spread based on the fitness of the parents selected for crossover. Our results indicate that these approaches lead to significant improvements over UC when applied to cancer chemotherapy scheduling.
Type: Conference Paper
Status: Author Version
Rights: Copyright IEEE; ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. http://www.ieee.org/publications_standards/publications/rights/rights_policies.html; The publisher has not responded to our queries therefore this work cannot be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.
URI: http://hdl.handle.net/1893/2437
URL: http://ieeexplore.ieee.org/servlet/opac?punumber=4625778
Affiliation: University of Stirling
Computing Science and Mathematics
Computing Science - CSM Dept
Robert Gordon University
Mathematics - CSM Dept

Files in This Item:
File Description SizeFormat 
CEC08FinalAuthor.pdf80.53 kBAdobe PDFUnder Embargo until 30/6/2078     Request a copy

Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependant on the depositor still being contactable at their original email address.

This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.