A hybrid algorithm based on PBIL algorithm and zooming algorithm

Gao Peng Wang; Li Hua Dou; Jie Chen; Juan Zhang; Chen Chen

A hybrid algorithm based on PBIL algorithm and zooming algorithm

Gao Peng Wang^*
, Li Hua Dou
, Jie Chen
, Juan Zhang
, Chen Chen

^*此作品的通讯作者

自动化学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

3 引用（Scopus）

摘要

Population based incremental learning (PBIL) algorithm has the advantage of simple execution process, quick and accurate solutions to problem. Aiming at the domino phenomenon of convergence from the highest position to the lowest position of binary coding in PBIL algorithm, a zooming algorithm is employed to improve the search efficiency and solution accuracy. The simulation results based on Benchmark functions of different dimensions verify that the proposed hybrid algorithm has the advantage of global convergence, high solution precision and search efficiency.

源语言	英语
页（从-至）	1-7
页数	7
期刊	Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
卷	22
期	1
出版状态	已出版 - 2月 2009

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链接到 Scopus 的出版物

引用此

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title = "A hybrid algorithm based on PBIL algorithm and zooming algorithm",

abstract = "Population based incremental learning (PBIL) algorithm has the advantage of simple execution process, quick and accurate solutions to problem. Aiming at the domino phenomenon of convergence from the highest position to the lowest position of binary coding in PBIL algorithm, a zooming algorithm is employed to improve the search efficiency and solution accuracy. The simulation results based on Benchmark functions of different dimensions verify that the proposed hybrid algorithm has the advantage of global convergence, high solution precision and search efficiency.",

keywords = "Function Optimization, Hybrid Algorithm, Population Based Incremental Learning (PBIL) Algorithm, Zooming Algorithm",

author = "Wang, \{Gao Peng\} and Dou, \{Li Hua\} and Jie Chen and Juan Zhang and Chen Chen",

year = "2009",

month = feb,

language = "English",

volume = "22",

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journal = "Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence",

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T1 - A hybrid algorithm based on PBIL algorithm and zooming algorithm

AU - Wang, Gao Peng

AU - Dou, Li Hua

AU - Chen, Jie

AU - Zhang, Juan

AU - Chen, Chen

PY - 2009/2

Y1 - 2009/2

N2 - Population based incremental learning (PBIL) algorithm has the advantage of simple execution process, quick and accurate solutions to problem. Aiming at the domino phenomenon of convergence from the highest position to the lowest position of binary coding in PBIL algorithm, a zooming algorithm is employed to improve the search efficiency and solution accuracy. The simulation results based on Benchmark functions of different dimensions verify that the proposed hybrid algorithm has the advantage of global convergence, high solution precision and search efficiency.

AB - Population based incremental learning (PBIL) algorithm has the advantage of simple execution process, quick and accurate solutions to problem. Aiming at the domino phenomenon of convergence from the highest position to the lowest position of binary coding in PBIL algorithm, a zooming algorithm is employed to improve the search efficiency and solution accuracy. The simulation results based on Benchmark functions of different dimensions verify that the proposed hybrid algorithm has the advantage of global convergence, high solution precision and search efficiency.

KW - Function Optimization

KW - Hybrid Algorithm

KW - Population Based Incremental Learning (PBIL) Algorithm

KW - Zooming Algorithm

UR - https://www.scopus.com/pages/publications/63549112859

M3 - Article

AN - SCOPUS:63549112859

SN - 1003-6059

VL - 22

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JO - Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence

JF - Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence

IS - 1

ER -

A hybrid algorithm based on PBIL algorithm and zooming algorithm

摘要

其它文件与链接

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引用此