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Multi-drug cancer chemotherapy scheduling by a new memetic optimization algorithm (2005)_香港中文大学

香港中文大学 辅仁网/2017-06-27

Multi-drug cancer chemotherapy scheduling by a new memetic optimization algorithm
Refereed conference paper presented and published in conference proceedings


香港中文大学研究人员 ( 现职)
莫树锦教授 (肿瘤学系)
李健康先生 (计算机科学与工程学系)
梁广锡教授 (计算机科学与工程学系)
梁勇博士 (计算机科学与工程学系)


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引用次数
Web of Sciencehttp://aims.cuhk.edu.hk/converis/portal/Publication/0WOS source URL

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摘要This paper proposes a new memetic algorithm (MA) to solve the Multi-drug chemotherapy optimization problem. The new MA combines GA with a local search algorithm called Iterative Dynamic Programming (IDP). A multi-drug chemotherapy model is introduced to simulate the possible response of the tumor cells under drugs administration. Optimization of the multiple chemotherapeutic agents' administration schedules is based on this tumor model. We formulate the optimization problem as an optimal control problem (OCP) with a set of dynamic equations. The objective is to design efficient schedules which minimize the tumor size under a set of constraints. Our new MA has been shown to be very efficient on solving our Multi-drug model.

着者Tse SM, Liang Y, Leung KS, Lee KH, Mok SKT
会议名称IEEE Congress on Evolutionary Computation
会议开始日http://aims.cuhk.edu.hk/converis/portal/Publication/02.http://aims.cuhk.edu.hk/converis/portal/Publication/09.2http://aims.cuhk.edu.hk/converis/portal/Publication/0http://aims.cuhk.edu.hk/converis/portal/Publication/05
会议完结日http://aims.cuhk.edu.hk/converis/portal/Publication/05.http://aims.cuhk.edu.hk/converis/portal/Publication/09.2http://aims.cuhk.edu.hk/converis/portal/Publication/0http://aims.cuhk.edu.hk/converis/portal/Publication/05
会议地点Edinburgh
会议国家英国
出版年份2http://aims.cuhk.edu.hk/converis/portal/Publication/0http://aims.cuhk.edu.hk/converis/portal/Publication/05
月份1
日期1
出版社IEEE
页次699 - 7http://aims.cuhk.edu.hk/converis/portal/Publication/06
国际标準书号http://aims.cuhk.edu.hk/converis/portal/Publication/0-78http://aims.cuhk.edu.hk/converis/portal/Publication/03-9363-5
语言英式英语

Web of Science 学科类别Computer Science; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods

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