Optimization of firepower allocation for antiaircraft system based on immune genetic algorithm

Chen Chen; Jie Chen; Juan Zhang; Gaopeng Wang

doi:10.1109/WCICA.2008.4593424

Optimization of firepower allocation for antiaircraft system based on immune genetic algorithm

Chen Chen, Jie Chen, Juan Zhang, Gaopeng Wang

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the research of antiaircraft system, how to make full use of the firepower units and cause maximum damage to enemy targets, is a key problem of firepower allocation. Based on the characteristics of the antiaircraft system, the description of firepower allocation for antiaircraft system is presented and the mathematical model is established. The calculational method of threaten estimation is given. Research on optimization of firepower allocation is carried out by using a kind of genetic algorithms based on immune theory. Based on the global searching ability of basic genetic algorithm, vaccine obtaining and inoculation are employed in local optimization of solutions in order to avoid the algorithm on low searching efficiency. The numerical simulations are provided for the method, and then the logicality and feasibility of the method are proved.

Original language	English
Title of host publication	Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
Pages	3145-3149
Number of pages	5
DOIs	https://doi.org/10.1109/WCICA.2008.4593424
Publication status	Published - 2008
Event	7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China Duration: 25 Jun 2008 → 27 Jun 2008

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference	7th World Congress on Intelligent Control and Automation, WCICA'08
Country/Territory	China
City	Chongqing
Period	25/06/08 → 27/06/08

Keywords

Firepower allocation
Immune genetic algorithm
Optimization
Threaten estimation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/WCICA.2008.4593424

Cite this

Chen, C., Chen, J., Zhang, J., & Wang, G. (2008). Optimization of firepower allocation for antiaircraft system based on immune genetic algorithm. In Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08 (pp. 3145-3149). Article 4593424 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2008.4593424

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title = "Optimization of firepower allocation for antiaircraft system based on immune genetic algorithm",

abstract = "In the research of antiaircraft system, how to make full use of the firepower units and cause maximum damage to enemy targets, is a key problem of firepower allocation. Based on the characteristics of the antiaircraft system, the description of firepower allocation for antiaircraft system is presented and the mathematical model is established. The calculational method of threaten estimation is given. Research on optimization of firepower allocation is carried out by using a kind of genetic algorithms based on immune theory. Based on the global searching ability of basic genetic algorithm, vaccine obtaining and inoculation are employed in local optimization of solutions in order to avoid the algorithm on low searching efficiency. The numerical simulations are provided for the method, and then the logicality and feasibility of the method are proved.",

keywords = "Firepower allocation, Immune genetic algorithm, Optimization, Threaten estimation",

author = "Chen Chen and Jie Chen and Juan Zhang and Gaopeng Wang",

year = "2008",

doi = "10.1109/WCICA.2008.4593424",

language = "English",

isbn = "9781424421145",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "3145--3149",

booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",

note = "7th World Congress on Intelligent Control and Automation, WCICA'08 ; Conference date: 25-06-2008 Through 27-06-2008",

}

Chen, C, Chen, J, Zhang, J & Wang, G 2008, Optimization of firepower allocation for antiaircraft system based on immune genetic algorithm. in Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08., 4593424, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 3145-3149, 7th World Congress on Intelligent Control and Automation, WCICA'08, Chongqing, China, 25/06/08. https://doi.org/10.1109/WCICA.2008.4593424

Optimization of firepower allocation for antiaircraft system based on immune genetic algorithm. / Chen, Chen; Chen, Jie; Zhang, Juan et al.
Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08. 2008. p. 3145-3149 4593424 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimization of firepower allocation for antiaircraft system based on immune genetic algorithm

AU - Chen, Chen

AU - Chen, Jie

AU - Zhang, Juan

AU - Wang, Gaopeng

PY - 2008

Y1 - 2008

N2 - In the research of antiaircraft system, how to make full use of the firepower units and cause maximum damage to enemy targets, is a key problem of firepower allocation. Based on the characteristics of the antiaircraft system, the description of firepower allocation for antiaircraft system is presented and the mathematical model is established. The calculational method of threaten estimation is given. Research on optimization of firepower allocation is carried out by using a kind of genetic algorithms based on immune theory. Based on the global searching ability of basic genetic algorithm, vaccine obtaining and inoculation are employed in local optimization of solutions in order to avoid the algorithm on low searching efficiency. The numerical simulations are provided for the method, and then the logicality and feasibility of the method are proved.

AB - In the research of antiaircraft system, how to make full use of the firepower units and cause maximum damage to enemy targets, is a key problem of firepower allocation. Based on the characteristics of the antiaircraft system, the description of firepower allocation for antiaircraft system is presented and the mathematical model is established. The calculational method of threaten estimation is given. Research on optimization of firepower allocation is carried out by using a kind of genetic algorithms based on immune theory. Based on the global searching ability of basic genetic algorithm, vaccine obtaining and inoculation are employed in local optimization of solutions in order to avoid the algorithm on low searching efficiency. The numerical simulations are provided for the method, and then the logicality and feasibility of the method are proved.

KW - Firepower allocation

KW - Immune genetic algorithm

KW - Optimization

KW - Threaten estimation

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M3 - Conference contribution

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T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

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BT - Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08

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Y2 - 25 June 2008 through 27 June 2008

ER -

Optimization of firepower allocation for antiaircraft system based on immune genetic algorithm

Abstract

Publication series

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Keywords

UN SDGs

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