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.
对“一刀切”矩形件排样问题，提出一种将启发式递归与免疫克隆算法相结合的混合优化方法。
An optimal task scheduling model and an algorithm were brought forward, which combined the advantages of immune clonal algorithm and simulated annealing.
对“一刀切”矩形件排样问题，提出一种将启发式递归与免疫克隆算法相结合的混合优化方法。
An optimal task scheduling model and an algorithm were brought forward, which combined the advantages of immune clonal algorithm and simulated annealing.
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