【摘要】 本文在遗传算法和免疫算法的基础上进行了改进,取代了传统免疫遗传算法中的交叉操作,加入了克隆和突变的并行操作,实现了在较小和较大两个邻域的解空间中进行多点并行邻域搜索,从而使算法具有较强的全局和局部搜索能力。将改进的AIGA应用于热工过程辨识,运行代次少,时间短,启发性强,仿真结果证明了该方法的有效性。更多还原

【Abstract】 This article designed an improved adaptive immunity genetic arithmetic (AIGA), based on the simple immunity arithmetic and genetic arithmetic. Add the operation including clone and mutation to replace the cross operation. Search both in the smaller and bigger field at the same time, and apply AIGA in identification of the steam temperature. The simulation result of study has proved the validity of this arithmetic.更多还原