免疫克隆选择算法的改进及其应用

Application and Improvement of Immune Clonally Selection Algorithm

基于生物免疫系统原理,提出了改进的免疫克隆选择算法.引入网割预处理,获得进化终止次数并使初始抗体集的多样性得到控制;采取震荡变异法提高算法的局部搜索精度;引入记忆机制,提高二次免疫收敛速度.本文应用此算法针对大气污染损害率普适公式R_i=1/(1+ ae^(-bx_i))~c 进行参数优化,结果显示改进算法在全局与局部范围内搜索更为细腻,提高了求解精度.

Based on the principle of biological immune system, an improved immune clonally selection algorithm（ICSA） was proposed. The algorithm introduced the analysis of antigenic determinant, calculated the network cut factor of antibody space and the end times of antibodies evolution, and created environment required to produce antibodies; shock variation method was adopted to make antibodies mutated; Innovative space adaptive mutation was proposed creatively; The improved ICSA was applied to analyze the parameters optimization problem of the atmospheric pollution harm rate universal formula Ri = 1/（1 ＋ ae^-bxi ）^c ; The results show that the algorithm within the scope of the global and local search is more exquisite. Solution accuracy is significantly increased.