基于改进免疫遗传算法的骨折创伤断面生理刺激应力寻优方法

Optimization Method of Physiological Stimulation Stress on Fracture Traumatic Section Based on Improved Immune Genetic Algorithm

针对骨折愈合中创伤断面最佳生理刺激应力的寻优问题,以骨折治疗的Jorgensen理论为基础,建立了骨折创伤断面生理刺激应力的寻优模型.针对普通免疫遗传算法存在的问题,提出以抗体种群总体相似度替代单个抗体相似度作为判断标准以计算抗体浓度和亲和力,提出了动态变异概率的概念和确定方法.基于山羊骨折创伤断面的实测应力曲线族,采用改进的免疫遗传算法、普通免疫遗传算法和标准遗传算法分别对山羊骨折创伤断面的生理刺激应力进行了寻优.寻优结果表明,本文方法是可行的、有效的,具有较高的寻优精度.

Aiming at the optimization of physiological stimulation stress on traumatic section in the process of fracture healing, on the basis of Jorgensen theory of fracture treatment, the optimization model of physiological stimulation stress for fracture traumatic section was established. Considering the problems existing in the normal immune genetic algorithm, an estimate criterion that uses antibody population overall similarity to replace single antibody similarity was proposed so as to calculate the antibody concentration and affinity, and the concept of dynamic mutation probability and its determination method were proposed. Based on the measured stress curve family on the goat fracture traumatic section, the improved immune genetic algorithm, normal immune genetic algorithm and the normal genetic algorithm were used respectively to optimize the physiological stimulation stress on goat＇s fracture traumatic section. The optimization results demonstrate that the method proposed is feasible and effective to achieve higher optimization accuracy.