Multi-modal function optimization based on improved immune algorithm
基于新型免疫算法的多峰函数优化

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.