Atomized feature in cloud based evolutionary algorithm

Yu Liu; De Yi Li; Guang Wei Zhang; Gui Sheng Chen

Atomized feature in cloud based evolutionary algorithm

Yu Liu^*
, De Yi Li
, Guang Wei Zhang
, Gui Sheng Chen

^*此作品的通讯作者

计算机学院

CAS - Institute of Electronics
Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

54 引用（Scopus）

摘要

The drops of the cloud spread around while the hyper entropy (He) is increasing. But many drops still stand in the central area of the cloud. Atomized feature of the cloud model can be used to adjust the strategies of the evolution. In cloud based evolutionary algorithm, changing He to affect the selection pressure and lead to different evolution result. By the experiments of nine typical test functions' optimization, the precision, stability and convergence rate of the algorithm are well proved.

源语言	英语
页（从-至）	1651-1658
页数	8
期刊	Tien Tzu Hsueh Pao/Acta Electronica Sinica
卷	37
期	8
出版状态	已出版 - 8月 2009

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引用此

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title = "Atomized feature in cloud based evolutionary algorithm",

abstract = "The drops of the cloud spread around while the hyper entropy (He) is increasing. But many drops still stand in the central area of the cloud. Atomized feature of the cloud model can be used to adjust the strategies of the evolution. In cloud based evolutionary algorithm, changing He to affect the selection pressure and lead to different evolution result. By the experiments of nine typical test functions' optimization, the precision, stability and convergence rate of the algorithm are well proved.",

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AU - Li, De Yi

AU - Zhang, Guang Wei

AU - Chen, Gui Sheng

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N2 - The drops of the cloud spread around while the hyper entropy (He) is increasing. But many drops still stand in the central area of the cloud. Atomized feature of the cloud model can be used to adjust the strategies of the evolution. In cloud based evolutionary algorithm, changing He to affect the selection pressure and lead to different evolution result. By the experiments of nine typical test functions' optimization, the precision, stability and convergence rate of the algorithm are well proved.

AB - The drops of the cloud spread around while the hyper entropy (He) is increasing. But many drops still stand in the central area of the cloud. Atomized feature of the cloud model can be used to adjust the strategies of the evolution. In cloud based evolutionary algorithm, changing He to affect the selection pressure and lead to different evolution result. By the experiments of nine typical test functions' optimization, the precision, stability and convergence rate of the algorithm are well proved.

KW - Atomized feature

KW - Cloud model

KW - Evolution strategies

KW - Genetic algorithm

UR - https://www.scopus.com/pages/publications/70249147638

M3 - 文章

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SN - 0372-2112

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Atomized feature in cloud based evolutionary algorithm

摘要

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