Control Engineering Department, Faculty of Electrical and Computer Engineering, K N Toosi University of Technology, Tehran, Iran.
IEEE Trans Biomed Eng. 2011 Jun;58(6):1678-85. doi: 10.1109/TBME.2011.2110651. Epub 2011 Feb 4.
In this paper, multiobjective open- and closed-loop optimal treatment strategies for HIV/AIDS are presented. It is assumed that highly active antiretroviral therapy is available for treatment of HIV infection. Amount of drug usage and the quality of treatment are defined as two objectives of a biobjective optimization problem, and Nondominated Sorting Genetic Algorithm II is used to solve this problem. Open- and closed-loop control strategies are used to produce optimal control inputs, and the Pareto frontiers obtained from these two strategies are compared. Pareto frontier, resulted from the optimization process, suggests a set of treatment strategies, which all are optimal from a perspective, and can be used in different medical and economic conditions. Robustness of closed-loop system in the presence of measurement noises is analyzed, assuming various levels of noise.
本文提出了一种针对 HIV/AIDS 的多目标开环和闭环优化治疗策略。假设高效抗逆转录病毒疗法可用于治疗 HIV 感染。药物使用量和治疗质量被定义为双目标优化问题的两个目标，使用非支配排序遗传算法 II 来解决这个问题。开环和闭环控制策略用于生成最优控制输入，并比较这两种策略得到的 Pareto 前沿。优化过程产生的 Pareto 前沿表明了一组治疗策略，从各个角度来看都是最优的，可以在不同的医疗和经济条件下使用。分析了存在测量噪声时闭环系统的鲁棒性，假设存在不同水平的噪声。
