混合优化人工免疫网络用于过程动态优化

常见的用于求解过程动态优化的方法局部寻优能力强，易陷入局部点；而优化人工免疫网络虽局部寻优能力弱，但不易陷入局部点.针对这些方法的不足，提出了一种新的算法--混合优化人工免疫网络，将优化人工免疫网络植入局部寻优操作和二次响应机制,应用于Park-Ramirez和Lee-Ramirez生物反应器，此算法能以较少的计算代价搜索到最佳控制策略.将其用于模型参数发生变化的Lee Ramirez生物反应器，实验结果表明，此算法的二次响应机制可以节省85％的评价次数.

Hybrid optimal artificial immune network and it's application to dynamic process optimization

The commonly used methods for the dynamic process optimization strongly converge to and easily trap in the local point,but the optimal artificial immune network(Opt-AiNet) difficultly converge to and trap in the local point.By introducing the operator of local exploiting and the second response to the opt-AiNet,a new algorithm,hybrid optimal artificial immune network(HOpt-AiNet) was formed.This new algorithm was tested by problems of dynamic optimization of Park-Ramirez bioreactor and Lee-Ramirez bioreactor.Experimental results showed that this algorithm can find the optimal control strategy,just needing less effort.For the dynamic optimization problems of Lee-Ramirez bioreactor,whose parameters changing,the strategy of second response can reduce the evaluation number of the objective function by 85%.