|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Authors:||Godley, Paul Michael|
|Title:||Fitness Directed Intervention Crossover Approaches Applied to Bio-Scheduling Problems|
|Citation:||Godley PM, Cairns D, Cowie J & McCall J (2008) Fitness Directed Intervention Crossover Approaches Applied to Bio-Scheduling Problems In: Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008. CIBCB '08, Hoboken NJ: Institute of Electrical and Electronics Engineers (IEEE). 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 15.9.2008 - 17.9.2008, Sun Valley, Idaho, pp. 120-127.|
|Conference Name:||2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology|
|Conference Location:||Sun Valley, Idaho|
|Abstract:||Our work to date has reviewed novel directed intervention crossover approaches as an effective way of guiding the crossover process. These techniques have been successfully applied to the scheduling of both bio-control agents for mushroom farming and chemotherapy drugs for cancer treatment and in both instances outperform Uniform Crossover (UC). Unlike traditional UC, the directed intervention approaches actively choose an intervention level and spread based on the ﬁtness of the parents selected for crossover. This paper reports on the results derived from this study thus far.|
|Rights:||Published in Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008. CIBCB '08. Copyright: Institute of Electrical and Electronics Engineers (IEEE).; The publisher does not allow this work to 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.|
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