On improving tactical planning in air combat in P.R. China with genetic algorithm

Deyun Zhou; Feng Li; Xiaobo Pu; Zongxi Zhou

On improving tactical planning in air combat in P.R. China with genetic algorithm

Deyun Zhou
, Feng Li
, Xiaobo Pu
, Zongxi Zhou

School of Electronics and Information

Northwestern Polytechnical University Xian

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

10 Scopus citations

Abstract

Th genetic algorithm is more effective for us to apply it in tactical planning of air combat. The research results improve the tactical planning of air combat and make the genetic algorithm more effective. The selection of objective function, which is the key for applying genetic algorithm to tactical planning of air combat was discussed. The improvement of genetic algorithm and a numerical simulation example involving two fighters were presented.

Original language	English
Pages (from-to)	109-112
Number of pages	4
Journal	Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume	20
Issue number	1
State	Published - Feb 2002

Keywords

Air combat
Genetic algorithm
Tactical planning

Cite this

@article{407b82afa6254fea89aa6f4bb65d9a43,

title = "On improving tactical planning in air combat in P.R. China with genetic algorithm",

abstract = "Th genetic algorithm is more effective for us to apply it in tactical planning of air combat. The research results improve the tactical planning of air combat and make the genetic algorithm more effective. The selection of objective function, which is the key for applying genetic algorithm to tactical planning of air combat was discussed. The improvement of genetic algorithm and a numerical simulation example involving two fighters were presented.",

keywords = "Air combat, Genetic algorithm, Tactical planning",

author = "Deyun Zhou and Feng Li and Xiaobo Pu and Zongxi Zhou",

year = "2002",

month = feb,

language = "英语",

volume = "20",

pages = "109--112",

journal = "Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University",

issn = "1000-2758",

publisher = "Northwestern Polytechnical University",

number = "1",

}

TY - JOUR

T1 - On improving tactical planning in air combat in P.R. China with genetic algorithm

AU - Zhou, Deyun

AU - Li, Feng

AU - Pu, Xiaobo

AU - Zhou, Zongxi

PY - 2002/2

Y1 - 2002/2

N2 - Th genetic algorithm is more effective for us to apply it in tactical planning of air combat. The research results improve the tactical planning of air combat and make the genetic algorithm more effective. The selection of objective function, which is the key for applying genetic algorithm to tactical planning of air combat was discussed. The improvement of genetic algorithm and a numerical simulation example involving two fighters were presented.

AB - Th genetic algorithm is more effective for us to apply it in tactical planning of air combat. The research results improve the tactical planning of air combat and make the genetic algorithm more effective. The selection of objective function, which is the key for applying genetic algorithm to tactical planning of air combat was discussed. The improvement of genetic algorithm and a numerical simulation example involving two fighters were presented.

KW - Air combat

KW - Genetic algorithm

KW - Tactical planning

UR - https://www.scopus.com/pages/publications/0036486169

M3 - 文章

AN - SCOPUS:0036486169

SN - 1000-2758

VL - 20

SP - 109

EP - 112

JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University

JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University

IS - 1

ER -

On improving tactical planning in air combat in P.R. China with genetic algorithm

Abstract

Keywords

Other files and links

Fingerprint

Cite this