A modified genetic algorithm for solving nonlinear hybrid optimization problem

Minle Wang; Xiaoguang Gao; Guangbin Liu

A modified genetic algorithm for solving nonlinear hybrid optimization problem

Minle Wang, Xiaoguang Gao, Guangbin Liu

电子信息学院

Rocket Force University of Engineering

科研成果: 会议稿件 › 论文 › 同行评审

摘要

In this paper, to aim at the problem of solving nonlinear hybrid integer programming , the modified Genetic Algorithm is presented on the basis of designing new encoding scheme and genetic operators. Applied to the problem of missile effectiveness optimization in attacking group targets, the new algorithm proves to be effective and efficient.

源语言	英语
页	2167-2170
页数	4
出版状态	已出版 - 2004
活动	WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, 中国期限: 15 6月 2004 → 19 6月 2004

会议

会议	WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings
国家/地区	中国
市	Hangzhou
时期	15/06/04 → 19/06/04

其它文件与链接

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引用此

@conference{20149bd360324c03b6ea2a85c68f59de,

title = "A modified genetic algorithm for solving nonlinear hybrid optimization problem",

abstract = "In this paper, to aim at the problem of solving nonlinear hybrid integer programming , the modified Genetic Algorithm is presented on the basis of designing new encoding scheme and genetic operators. Applied to the problem of missile effectiveness optimization in attacking group targets, the new algorithm proves to be effective and efficient.",

keywords = "Genetic Algorithm, Missile, Nonlinear integer programming, Operational effectiveness, Operator",

author = "Minle Wang and Xiaoguang Gao and Guangbin Liu",

year = "2004",

language = "英语",

pages = "2167--2170",

note = "WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings ; Conference date: 15-06-2004 Through 19-06-2004",

}

TY - CONF

T1 - A modified genetic algorithm for solving nonlinear hybrid optimization problem

AU - Wang, Minle

AU - Gao, Xiaoguang

AU - Liu, Guangbin

PY - 2004

Y1 - 2004

N2 - In this paper, to aim at the problem of solving nonlinear hybrid integer programming , the modified Genetic Algorithm is presented on the basis of designing new encoding scheme and genetic operators. Applied to the problem of missile effectiveness optimization in attacking group targets, the new algorithm proves to be effective and efficient.

AB - In this paper, to aim at the problem of solving nonlinear hybrid integer programming , the modified Genetic Algorithm is presented on the basis of designing new encoding scheme and genetic operators. Applied to the problem of missile effectiveness optimization in attacking group targets, the new algorithm proves to be effective and efficient.

KW - Genetic Algorithm

KW - Missile

KW - Nonlinear integer programming

KW - Operational effectiveness

KW - Operator

UR - http://www.scopus.com/inward/record.url?scp=4444371625&partnerID=8YFLogxK

M3 - 论文

AN - SCOPUS:4444371625

SP - 2167

EP - 2170

T2 - WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings

Y2 - 15 June 2004 through 19 June 2004

ER -

A modified genetic algorithm for solving nonlinear hybrid optimization problem

摘要

会议

其它文件与链接

指纹

引用此