混合遗传算法

2015 Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2015-04-21 DOI:10.1109/ESTREAM.2015.7119482

Agnė Dzidolikaitė

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引用次数: 59

摘要

在许多研究领域中，我们必须处理多维数据。多维数据应以研究人员能够理解给定数据结构的形式提供。图形数据可视化可用于此目的。多维缩放是图形数据可视化的一种方法。使用多维尺度，高维数据在二维或三维空间中可视化。本文将遗传算法与多维标度技术相结合。遗传算法通常模拟自然进化，由选择、重组和突变组成。利用饮料数据集和药理学数据集对混合遗传算法进行分析。

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Hybrid genetic algorithm

In many research fields we have to deal with multidimensional data. Multidimensional data should be provided in a form that researcher could understand the structure of the given data. Graphical data visualization could be used for this purpose. One of the methods of graphical data visualization is multidimensional scaling. Using multidimensional scaling higher dimension data is visualized in two or three dimensional space. In this paper genetic algorithm is combined with multidimensional scaling technique. Genetic algorithms usually mimic natural evolution and consist of selection, recombination and mutation. The new hybrid genetic algorithm is analyzed with beverages dataset and pharmacological dataset.

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来源期刊

2015 Open Conference of Electrical, Electronic and Information Sciences (eStream)

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