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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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。
Thus, we propose a hybrid Immune algorithm (IA) based heuristic containing a simplex algorithm as a sub-search process.
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。
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，提出了一种基于人工免疫原理的混合聚类算法。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a new hybrid clustering method based on the artificial immune theory is presented.
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