In this paper, the clonal selection mechanism of the immune system is used and modified to introduce an advanced algorithm to optimize functions.
论文利用免疫系统的克隆选择机制，提出一种用于函数优化的改进克隆选择算法。
To address the optimization problem, a modified artificial immune algorithm was developed.
针对这一优化问题，设计了一种人工免疫算法。
The experiment results demonstrate that the proposed algorithm is superior to several typical modified PSO algorithms and immune clone algorithm.
实验结果表明该算法优于几种典型的粒子群算法和基本免疫克隆算法。
The experiment results demonstrate that the proposed algorithm is superior to several typical modified PSO algorithms and immune clone algorithm.
实验结果表明该算法优于几种典型的粒子群算法和基本免疫克隆算法。
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