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

^*Corresponding author for this work

School of Computer Science and Engineering

CAS - Institute of Electronics
Beihang University

Research output: Contribution to journal › Article › peer-review

54 Scopus citations

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.

Original language	English
Pages (from-to)	1651-1658
Number of pages	8
Journal	Tien Tzu Hsueh Pao/Acta Electronica Sinica
Volume	37
Issue number	8
State	Published - Aug 2009

Keywords

Atomized feature
Cloud model
Evolution strategies
Genetic algorithm

Cite this

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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 - Liu, Yu

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

VL - 37

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JO - Tien Tzu Hsueh Pao/Acta Electronica Sinica

JF - Tien Tzu Hsueh Pao/Acta Electronica Sinica

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ER -

Atomized feature in cloud based evolutionary algorithm

Abstract

Keywords

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