array(2) { ["lab"]=> string(4) "1409" ["publication"]=> string(5) "12477" } Fast Drug Scheduling Optimization Approach for Cancer Chemotherapy - Liang Yong | LabXing

Liang Yong

简介 中藥質量控制資訊系統，生物資訊學

大学 Macau University of Science and Technology / Faculty of Information Technology
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Fast Drug Scheduling Optimization Approach for Cancer Chemotherapy

2007
会议 International Conference on Computational Science
In this paper, we propose a novel fast evolutionary algorithm — cycle-wise genetic algorithm (CWGA) based on the theoretical analyses of a drug scheduling mathematical model for cancer chemotherapy. CWGA is more efficient than other existing algorithms to solve the drug scheduling optimization problem. Moreover, its simulation results match well with the clinical treatment experience, and can provide much more drug scheduling policies for a doctor to choose depending on the particular conditions of the patients. CWGA also can be widely used to solve other kinds of the real dynamic systems.

  • 页码 1099-1107
  • Springer, Berlin, Heidelberg
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