Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7582
Title: A novel evolutionary drug scheduling model in cancer chemotherapy
Authors: Liang, Yong 
Prof. LEUNG Kwong Sak 
Mok, Tony Shu Kam 
Issue Date: 2006
Source: IEEE Transactions on Information Technology in Biomedicine, 2006, vol. 10 ( 2), pp. 237 - 245
Journal: IEEE Transactions on Information Technology in Biomedicine 
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Abstract: In this paper, we introduce a modified optimal control model of drug scheduling in cancer chemotherapy and a new adaptive elitist-population-based genetic algorithm (AEGA) to solve it. Working closely with an oncologist, we first modify the existing model, because its equation for the cumulative drug toxicity is inconsistent with medical knowledge and clinical experience. To explore multiple efficient drug scheduling policies, we propose a novel variable representation - a cycle-wise representation, and modify the elitist genetic search operators in the AEGA. The simulation results obtained by the modified model match well with the clinical treatment experiences, and can provide multiple efficient solutions for oncologists to consider. Moreover, it has been shown that the evolutionary drug scheduling approach is simple, and capable of solving complex cancer chemotherapy problems by adapting multimodal versions of evolutionary algorithms. © 2006 IEEE.
Type: Peer Reviewed Journal Article Cover
URI: http://hdl.handle.net/20.500.11861/7582
ISSN: 10897771
DOI: 10.1109/TITB.2005.859888
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