遗传- airs:一种基于遗传算法和人工免疫系统的混合分类方法

IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications Pub Date : 2014-07-07 DOI:10.1109/IISA.2014.6878722

Dionisios N. Sotiropoulos, Dimitrios Mathioudakis, G. Tsihrintzis

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引用次数: 3

摘要

本文提出并评价了一种基于人工免疫系统和遗传算法相结合的混合分类方法。具体来说，新算法称为Genetic-AIRS，是人工免疫资源系统(Artificial Immune Resource System, AIRS)算法与著名的进化计算技术的结合。因此，Genetic-AIRS是全局执行的，而AIRS是局部执行的。我们比较了AIRS，确定了Genetic-AIRS的优点和缺点，并对各种公开可用的数据集进行了实验评估。

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Genetic-AIRS: A hybrid classification method based on Genetic Algorithms and Artificial Immune Systems

In this paper, we develop and evaluate a hybrid classification method based on a combination of Artificial Immune Systems and Genetic Algorithms. Specifically, the new algorithm, called Genetic-AIRS, is a combination of the Artificial Immune Resource System (AIRS) algorithm with well-known evolutionary computation techniques. As a result, Genetic-AIRS is executed globally, in contrast with AIRS which is executed locally. We compare to AIRS and identify advantages and disadvantages of Genetic-AIRS and perform an experimental evaluation on various publicly available datasets.

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IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications

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