Optimization of electrostatic detecting ground array

Fang Chen; Lixin Xu; Zhanzhong Cui; Xi Chen

doi:10.1109/ICIA.2006.305820

Optimization of electrostatic detecting ground array

Fang Chen^*, Lixin Xu, Zhanzhong Cui, Xi Chen

^*Corresponding author for this work

School of Mechatronical Engineering

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

The electrostatic detecting round array can precisely detect the electrostatic target in a long distance. To improve the location accuracy of this detecting system, the optimization of the array arrangement must be carried on. Because of the complexity of the detecting model, Ant Colony Algorithm with the advantages of efficient solution procedure and global optimization is adopted. Considering the specific situations of the system, some theories of Max-Min Ant System (MMAS) are introduced, which can properly improve the performance of optimization process. Based on the results of simulative experiments, it can be concluded that not only reasonable optimal results of the electrostatic detecting array are obtained with the Ant Colony Algorithm, the efficiency of optimization is heightened remarkably as well.

Original language	English
Pages	737-741
Number of pages	5
DOIs	https://doi.org/10.1109/ICIA.2006.305820
Publication status	Published - 2006
Event	2006 IEEE International Conference on Information Acquisition, ICIA 2006 - Weihai, Shandong, China Duration: 20 Aug 2006 → 23 Aug 2006

Conference

Conference	2006 IEEE International Conference on Information Acquisition, ICIA 2006
Country/Territory	China
City	Weihai, Shandong
Period	20/08/06 → 23/08/06

Keywords

Ant colony algorithm
Electrostatic detecting round array
MMAS
Optimization

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10.1109/ICIA.2006.305820

Cite this

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title = "Optimization of electrostatic detecting ground array",

abstract = "The electrostatic detecting round array can precisely detect the electrostatic target in a long distance. To improve the location accuracy of this detecting system, the optimization of the array arrangement must be carried on. Because of the complexity of the detecting model, Ant Colony Algorithm with the advantages of efficient solution procedure and global optimization is adopted. Considering the specific situations of the system, some theories of Max-Min Ant System (MMAS) are introduced, which can properly improve the performance of optimization process. Based on the results of simulative experiments, it can be concluded that not only reasonable optimal results of the electrostatic detecting array are obtained with the Ant Colony Algorithm, the efficiency of optimization is heightened remarkably as well.",

keywords = "Ant colony algorithm, Electrostatic detecting round array, MMAS, Optimization",

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year = "2006",

doi = "10.1109/ICIA.2006.305820",

language = "English",

pages = "737--741",

note = "2006 IEEE International Conference on Information Acquisition, ICIA 2006 ; Conference date: 20-08-2006 Through 23-08-2006",

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AU - Chen, Fang

AU - Xu, Lixin

AU - Cui, Zhanzhong

AU - Chen, Xi

PY - 2006

Y1 - 2006

N2 - The electrostatic detecting round array can precisely detect the electrostatic target in a long distance. To improve the location accuracy of this detecting system, the optimization of the array arrangement must be carried on. Because of the complexity of the detecting model, Ant Colony Algorithm with the advantages of efficient solution procedure and global optimization is adopted. Considering the specific situations of the system, some theories of Max-Min Ant System (MMAS) are introduced, which can properly improve the performance of optimization process. Based on the results of simulative experiments, it can be concluded that not only reasonable optimal results of the electrostatic detecting array are obtained with the Ant Colony Algorithm, the efficiency of optimization is heightened remarkably as well.

AB - The electrostatic detecting round array can precisely detect the electrostatic target in a long distance. To improve the location accuracy of this detecting system, the optimization of the array arrangement must be carried on. Because of the complexity of the detecting model, Ant Colony Algorithm with the advantages of efficient solution procedure and global optimization is adopted. Considering the specific situations of the system, some theories of Max-Min Ant System (MMAS) are introduced, which can properly improve the performance of optimization process. Based on the results of simulative experiments, it can be concluded that not only reasonable optimal results of the electrostatic detecting array are obtained with the Ant Colony Algorithm, the efficiency of optimization is heightened remarkably as well.

KW - Ant colony algorithm

KW - Electrostatic detecting round array

KW - MMAS

KW - Optimization

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DO - 10.1109/ICIA.2006.305820

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EP - 741

T2 - 2006 IEEE International Conference on Information Acquisition, ICIA 2006

Y2 - 20 August 2006 through 23 August 2006

ER -

Optimization of electrostatic detecting ground array

Abstract

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Keywords

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