将基因库和高频变异加入动态克隆选择算法，提高检测器的进化速率。
By integrating gene pool and high frequency aberrance into dynamic clonal selection algorithm, the efficiency of evolution can be improved.
以一种进化聚类算法(ecm)为基础，提出了一种新的T - S型动态模糊推理模型的建模算法。
On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed.
提出一种带有随机变异的动态差分进化算法。
The dynamic Differential Evolution (DE) algorithm with random mutation was proposed.
应用推荐