基于新型免疫算法的多峰函数优化

针对目前多峰函数优化问题较难找到全部局部最优解的情况，提出了改进的免疫优化求解方法。借鉴免疫系统的受体编辑操作、Baldwin效应，设计了相应的算子，增强了算法的学习能力，提高了算法的收敛速度。实验结果表明，本算法求解精度较高，提高了多峰函数寻优的精度。

Multi-modal function optimization based on improved immune algorithm

For the difficulty of finding all the extreme solutions for multi-modal function optimization, this paper proposed an improved immune algorithm. It designed the operators according to Baldwin efficiency and receptor editing, and enhanced the learning ability of the algorithm and fast the convergence. The experiment results show that the algorithm has better effectiveness and rapid convergence.