Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7570
Title: A memetic algorithm for multiple-drug cancer chemotherapy schedule optimization
Authors: Tse, Sui-Man 
Liang, Yong 
Prof. LEUNG Kwong Sak 
Lee, Kin-Hong 
Mok, Tony Shu-Kam 
Issue Date: 2007
Source: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2007, vol. 37 (1) , pp. 84 - 91
Journal: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 
Abstract: This correspondence introduces a multidrug cancer chemotherapy model to simulate the possible response of the tumor cells under drug administration. We formulate the model as an optimal control problem. The algorithm in this correspondence optimizes the multidrug cancer chemotherapy schedule. The objective is to minimize the tumor size under a set of constraints. We combine the adaptive elitist genetic algorithm with a local search algorithm called iterative dynamic programming (IDP) to form a new memetic algorithm (MA-IDP) for solving the problem. MA-IDP has been shown to be very efficient in solving the multidrug scheduling optimization problem. © 2007 IEEE.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/7570
ISSN: 10834419
DOI: 10.1109/TSMCB.2006.883265
Appears in Collections:Applied Data Science - Publication

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