改进的自适应分组个体重构免疫算法

Immune Algorithm of an Improved Adaptive Grouped Individual Reconstruction

针对免疫算法收敛速度慢,有可能陷入局部寻优情况,提出了一种改进的自适应分组个体重构免疫算法.在个体重构的实现上采用了分组进行,同时对重构算法进行了合理的改进,既保证了收敛速度,同时也保证了全局寻优的过程.仿真实验也表明了这一改进算法在收敛速度和寻优能力方面较原算法有较大的改善.

An improved adapative grouped individual reconstruction immune algorithm is presented,in allusion that immune algorithm has slow convergence velocity and may trap into local search. The improved algorithm uses group technique in individual reconstruction procedure and carries on rational improvement on the realization of algorithm. It not only accelerates convergence velocity but also takes advantage in global search capability. The statistical experiment results demonstrate that the algorithm proposed do better than other immune algorithm.