array(2) { ["lab"]=> string(4) "1409" ["publication"]=> string(5) "12476" } A memetic algorithm for multiple-drug cancer chemotherapy schedule optimization - 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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A memetic algorithm for multiple-drug cancer chemotherapy schedule optimization

2007
期刊 IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
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

  • 卷 37
  • 期 1
  • 页码 84-91
  • IEEE
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