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)

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