双交换遗传算法及其在非周期天线阵方向图综合中的应用

李东风; 龚中麟

双交换遗传算法及其在非周期天线阵方向图综合中的应用

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出版历程
- 收稿日期: 2001-09-18
- 修回日期: 2002-02-25
- 刊出日期: 2003-02-19

The double-crossover genetic algorithm and its application in radiation pattern synthesis of aperiodic antenna arrays

摘要

摘要: 提出了一种双交换遗传出法,它拓展了传统遗传算法的基本思想,通过引入双交换繁殖操作和参数化染色体,摆脱了传统遗传算法收敛对初始群体的依赖性,避免了传统遗传算法繁琐的编解码过程,因而,它比传统遗传算法更有效和更实用,为了说明双交换遗传算法的有效性和实用性,将双交换遗传算法应用于非周期圆形天线阵扫描方向图综合,应用表明双交换遗传算法可以成为一种通用的阵列天线辐射方向图综合工具。
- 遗传算法; 阵列天线; 天线辐射方向图
Abstract: The double-crossover Genetic Algorithm (GA) extending the basic idea of conventional Genetic Algorithms(GAs) is presented. The double-crossover GA with the double-crossover reproduction operation and parametric chromosomes gets rid of the dependence of the convergence of conventional GAs on the initial population, avoids troublesome encoding and decoding, and is more practical and effective than conventional GAs. To illustrate effectiveness and practicality, the double-crossover GA is applied to the scanning radiation pattern synthesis of aperiodic circular arrays. The successful application shows that the double-crossover GA can be used as a general tool for radiation pattern synthesis of antenna arrays.

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参考文献(1)

R.L. Haupt, Thinned arrays using genetic algorithms, IEEE Trans. on Antennas Propagat.,1994, 42(7), 993-999.[2]Dong Feng Li, Zhong Lin Gong, Design of hexagonal planar arrays using genetic algorithms for performance improvement, 2000 2nd International Conference on Microwave and Millimeter Wave Technology Proceedings, Beijing, China, Sept. 2000, 455-460.[3]J. Holland, Adaptation in Nature and Artificial Systems, Ann Arbor, The University of Michigan Press, 1975, chapter 3.[4]D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, New York,Addison-Wesley, 1989, chapter 2.[5]L. Davis, Ed., Genetic Algorithms and Simulated Annealing, Los Altos, CA, Morgan Kaufmann,1987, chapter 2.[6]陈国良,王煦发,庄镇泉,王东生,遗传算法及其应用,北京,人民邮电出版社,1996,28-100.[7]刘勇,康立山,陈屏,非数值并行算法(第二册),遗传算法,北京,科学出版社,1995,38-108. ［8］K.K. Yan, Y. Lu, Sidelobe reduction in array-pattern synthesis using genetic algorithms, IEEE Trans. on Antennas Propagat., 1997, 45(7), 1117-1122.[8]D. Marcano, F. Duran, Synthesis of antenna arrays using genetic algorithms, IEEE Antennas and Propagation Magazine, 2000, 42(3), 12-20.[9]佘春峰,杨华中,胡冠章,汪蕙,浮点遗传算法的收敛性及其在模型参数提取问题中的应用,电子学报,2000,28(3),134-136.[10]R. C. Johnson, Antenna Engineering Handbook, Third edition, New York, McGraw-Hill, Inc.,1993, chapter 3.[11]R.J. Mailloux, Phased Array Antenna Handbook, Boston, Artech House, 1993, 81-87.[12]M.T. Ma, Theory and Application of Antenna Arrays, New York, Wiley, 1974, 191-202.

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