基于遗传算法和免疫理论的分布式数据库查询优化方法

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI:10.1109/ICSESS.2017.8343024

M. Yao

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引用次数: 2

摘要

分布式数据库查询优化在商业领域有着重要的意义。本文提出了一种基于遗传算法和免疫理论的优化方法。通过遗传编码和免疫疫苗构建对分布式数据库查询进行优化。然后，通过实验数据测试，证明该算法比标准遗传算法的效率提高13%，表明该算法具有更好的性能。

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A distributed database query optimization method based on genetic algorithm and immune theory

Distributed database query optimization is very important in business field. This paper proposes an optimization based on genetic algorithm and immune theory. Distributed database query is optimized by genetic coding and immune vaccine construction. Then, through the experimental data test, it proves that the algorithm has 13% higher efficiency than the standard genetic algorithm, which shows that the algorithm has better performance.

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2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)

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