求解药代动力学参数的混合人口迁移算法  

Hybrid population migration algorithm for parameters of pharmacokinetics

作　　者：刘利斌[1] 欧阳艾嘉[2] 贺明华[3] 邓锬[2] 李肯立[2] 

机构地区：[1]池州学院数学与计算机科学系,安徽池州247000 [2]湖南大学信息科学与工程学院,长沙410082 [3]井冈山大学高等教育研究所,江西吉安343009

出　　处：《计算机工程与应用》2012年第30期229-232,238,共5页Computer Engineering and Applications

基　　金：国家自然科学基金重大研究计划(No.90715029);国家自然科学基金(No.60603053,No.61070057,No.61133005);安徽省高校自然科学研究项目(No.KJ2011B112)

摘　　要：针对传统方法优化药代动力学参数时精度不高的缺陷,将Hooke-Jeeves算法与人口迁移算法有机融合,使两者取长补短,既提高了算法的精度,又加快了算法的收敛速度。将混合人口迁移算法用于血管外给药二室模型参数优化的实验之中,不仅比传统的残数法效果要好,而且比Hooke-Jeeves算法或人口迁移算法更优,精度更高。多次实验表明:算法具有良好的可靠性和稳定性,是一种较好的解决药代动力学参数的方法。To overcome the weakness of poor accuracy of traditional methods in terms of optimization of pharmacokinetics parameters, this paper combines the Population Migration Algorithm（PMA）with the Hooke-Jeeves（HJ）algorithm and the order is to make them learn from others’strong points to offset one’s weaknesses, which not only improves the accuracy of the algorithm, but also speeds up the convergence velocity of the algorithm. Applying the Hybrid Population Migration Algorithm（HPMA）in the experiment on the optimization of two-compartment model’s parameters by extra-vascular administration can achieve a better effect than the traditional method of Feathering method（FM）and higher precision than the HJ or the PMA. Repeated experiments show that this algorithm has strong reliability and stability, and is a good approach for solving pharmacokinetic parameters.

关 键 词：药代动力学 人口迁移算法 Hooke-Jeeves算法 二室模型 参数优化 

分 类 号：R911[医药卫生—药学]