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. 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Sun Valley, Idaho, 15.09.2008-17.09.2008. Hoboken NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 120-127. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4669529; https://doi.org/10.1109/CIBCB.2008.4675768

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.

Keywords
Crossover; Optimal Control; Scheduling; Evolutionary Algorithms