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Vol. 188, Issue 5, May 2015, pp. 55-60




Genetic Algorithm and its Application in Optimal Sensor Layout

Xiang-Yang Chen

School of Electronic Engineering, University of Electronics Science and Technology of China, Chengdu, Sichuan 611731, China School of Mathematics and Computing Science, Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, Guangxi, China, 541004
E-mail: xiangyangchen667@126.com


Received: 17 March 2015 /Accepted: 30 April 2015 /Published: 29 May 2015

Digital Sensors and Sensor Sysstems


Abstract: This paper aims at the problem of multi sensor station distribution, based on multi- sensor systems of different types as the research object, in the analysis of various types of sensors with different application background, different indicators of demand, based on the different constraints, for all kinds of multi sensor station is studied, the application of genetic algorithms as a tool for the objective function of the models optimization, then the optimal various types of multi sensor station distribution plan, improve the performance of the system, and achieved good military effect. In the field of application of sensor radar, track measuring instrument, the satellite, passive positioning equipment of various types, specific problem, use care indicators and station arrangement between the mathematical model of geometry, using genetic algorithm to get the optimization results station distribution, to solve a variety of practical problems provides useful help, but also reflects the improved genetic algorithm in electronic weapon system based on multi sensor station distribution on the applicability and effectiveness of the optimization; finally the genetic algorithm for integrated optimization of multi sensor station distribution using the good to the training exercise tasks based on actual in, and have achieved good military effect.


Keywords: Sensor placement, Genetic Algorithm, Multi-sensor, Damage detection.


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