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Proceedings of Annual Conference of China Institute of Communications (CIC 2009 E-BOOK)

Guangzhou,China,11.26-11.27，2009

ISBN: 978-1-935068-10-5 Scientific Research Publishing, USA

E-Book 604pp Pub. Date: March 2010

Category: Computer Science & Communications

Price: $80

Title: ASAGA Arithmetic for Position Optimization of Battlefield Reconnaissance Radar Netting
Source: Proceedings of Annual Conference of China Institute of Communications (CIC 2009 E-BOOK) (pp 198-202)
Author(s): Kexin Li, Department of Electronic Reconnaissance, Shenyang Artillery Academy, Shenyang, China
Guoxin Xu, Department of Electronic Reconnaissance, Shenyang Artillery Academy, Shenyang, China
Peng Zhang, Department of Electronic Reconnaissance, Shenyang Artillery Academy, Shenyang, China
Zhihong Zhao, Department of Electronic Reconnaissance, Shenyang Artillery Academy, Shenyang, China
Abstract: Position optimization of battlefield reconnaissance radar netting is one of the important factors for operation decision. Radar netting optimal is studied, and an evaluation model for radar optimal disposition is established. The adaptive genetic algorithm (AGA) was adopted to find the optimal variables. Meanwhile, the adaptive simulated annealing genetic algorithm (ASAGA) was developed by combining AGA and simulated annealing algorithm. The new algorithm not only provided global search capacity, but also improved local search capacity of AGA. The experimental results prove the method can be serving as a reference of the optimization of radar netting.
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