A Memetic Algorithm for Multiple-Drug Cancer Chemotherapy Schedule Optimization

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 ob...

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Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Jg. 37; H. 1; S. 84 - 91
Hauptverfasser:	Tse, S.-M., Yong Liang, Kwong-Sak Leung, Kin-Hong Lee, Mok, T.S.-K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.02.2007
Schlagworte:	Adaptive algorithms Algorithms Antineoplastic Combined Chemotherapy Protocols - administration & dosage Antineoplastic Combined Chemotherapy Protocols - pharmacokinetics Artificial Intelligence Biomimetics - methods Cancer Chemotherapy Computer Simulation Cybernetics Drug Administration Schedule Drug scheduling (cancer) model Drug Therapy, Computer-Assisted - methods Drugs evolutionary algorithms (EAs) Genetic algorithms Heuristic algorithms Humans hybrid genetic algorithm-local search (GA-LS) Iterative algorithms iterative dynamic programming (IDP) memetic algorithms (MAs) Models, Biological Neoplasms Neoplasms - drug therapy Neoplasms - metabolism Optimal control Optimal scheduling Optimization Schedules Scheduling algorithm Software Systems Theory Tumors
ISSN:	1083-4419
Online-Zugang:	Volltext
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