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Proceedings Paper

Comparative study of immune algorithm and genetic algorithm in thinned rectangular array synthesizing
Author(s): Jianhua Zhang; Weizheng Pang
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Paper Abstract

Immune algorithm is applied in pattern synthesizing of thinned array. Against the structural characteristic of rectangular plane thinned array, pattern function with form of Kronecker product is used in order to reduce the amount of the computation and improve the speed of operation. Immune algorithm is improved through the use of adaptive clone and Gauss Variation in order to overcome blind search of the algorithm. As a result searching efficiency is advanced. Immune algorithm and genetic algorithm are respectively used in side-lobe optimizing of rectangular thinned array. The result which using immune algorithm is obviously superior than which using genetic algorithm immune algorithm can reduce the side-lobe of rectangular thinned array, which show the flexibility and effectiveness of the immune algorithm and Immune algorithm has a better global convergence than genetic algorithm.

Paper Details

Date Published: 28 December 2010
PDF: 6 pages
Proc. SPIE 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 75446T (28 December 2010); doi: 10.1117/12.885659
Show Author Affiliations
Jianhua Zhang, Harbin Engineering Univ. (China)
Northeast Forestry Univ. (China)
Weizheng Pang, Harbin Engineering Univ. (China)

Published in SPIE Proceedings Vol. 7544:
Sixth International Symposium on Precision Engineering Measurements and Instrumentation
Jiubin Tan; Xianfang Wen, Editor(s)

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