Publication in refereed journal
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) |
全文
| 数位物件识别号 (DOI) http://dx.doi.org/10.1109/TSMCB.2006.883265 |
引用次数
Web of Sciencehttp://aims.cuhk.edu.hk/converis/portal/Publication/28WOS source URL
其它资讯
摘要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.
着者Tse SM, Liang Y, Leung KS, Lee KH, Mok TSK
期刊名称IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
出版年份2007
月份2
日期1
卷号37
期次1
出版社IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
页次84 - 91
国际标準期刊号1083-4419
电子国际标準期刊号1941-0492
语言英式英语
关键词drug scheduling (cancer) model; evolutionary algorithms (EAs); hybrid genetic algorithm-local search (GA-LS); iterative dynamic programming (IDP); memetic algorithms (MAs); optimal control
Web of Science 学科类别Automation & Control Systems; AUTOMATION & CONTROL SYSTEMS; Computer Science; Computer Science, Artificial Intelligence; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE; Computer Science, Cybernetics; COMPUTER SCIENCE, CYBERNETICS
