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对用于多峰值函数的人工免疫网络算法进行了改进并分析了其特性。首先在给出基于人工免疫网络的多峰值函数优化算法及其流程的基础上,提出了一种克服早熟现象的改进方案;然后通过与克隆选择算法的数值对比实验,对改进后算法的计算结果加以分析,验证了该算法用于求解多峰值函数优化的有效性;最后重点讨论了算法主要参数对其求解性能的影响,得到了若干参考性结论,可为人工免疫网络计算提供指导。
The artificial immune network algorithm for multi-peak function is improved and its characteristics are analyzed. Based on the multi-peaked function optimization algorithm and its flow based on artificial immune network, an improved scheme of overcoming the premature phenomenon is proposed. Then, by comparing with the numerical value of the clonal selection algorithm, the calculation results of the improved algorithm Finally, the influence of the main parameters of the algorithm on its solution performance is discussed. Some reference conclusions are obtained, which can provide guidance for the artificial immune network calculation.