这种算法称为混合免疫算法(Hybrid Immune Algorithm,HIA)。本文针对TSP问题,将标准免疫算法与改良圈算法、贪婪算法、拟贪婪算法结合,构造了一种混合免疫算法。
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Thus, we propose a hybrid Immune algorithm (IA) based heuristic containing a simplex algorithm as a sub-search process.
为此，本文提出用一个基于模型特性，包含子搜索过程的混合免疫算法来对问题进行优化。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a hybrid algorithm combining C-means algorithm and artificial immune algorithm is presented.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种人工免疫c -均值混合聚类算法。
A hybrid RBF training method based on immune algorithm and least square method is proposed and applied in radar antenna scanning-style recognition system.
采用一种基于免疫算法和最小二乘法的两级学习方法设计径向基函数（RBF）网络，并将其应用于雷达天线扫描方式识别系统。
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