中文摘要：

基于生物免疫系统的重要原理和机理提出了一种免疫进化算法（IEA）,对此算法收敛性进行了理论分析,并将该算法应用到多模态函数优化的求解中。仿真结果表明,该算法用于复杂的函数优化具有较快的收敛速度和有效性,利用此算法研究优化问题具有广阔的前景。

英文摘要：

An immune evolutionary algorithm （IEA） is proposed based on some important theories and mechanisms of biological immune systems in this paper. The convergence of the IEA is analyzed theoretically. The algorithm is applied to solve the multimodal function optimization. The simulation results show that the algorithm is used to solve the complex function optimization with rapid convergence speed and validity. The proposed algorithm can be widely used in the study of optimization problems.