基于人工免疫网络的多峰值函数优化

针对多峰值函数优化中常规方法难以同时搜索出多个极值的问题,借鉴生物免疫系统的相关机理,提出了基于人工免疫网络的多峰值函数优化算法,并在一些典型的测试函数上进行性能测试。实验结果表明,该算法具有很好的全局和局部搜索能力,能够较好地保持抗体的多样性,获得多峰值函数的全部或多个优化解。

Multi-Modal Function Optimization Based on Artificial Immune Network

Aimed at the problem that common methods have difficulty in searching out multiple extrema of multi-medal func- tion optimization,referred to the relevant mechanism of biology immune.system,multi-modal function optimization algorithm based on artificial immune network is presented and is applied to some typical test functions in this paper.The experiment re- suits show that the algorithm has better global and local searching ability,and can.preferably hold antibodies'diversity,then can obtain all or part optimum solutions of multi-modal function.