整体退火遗传算法在不等间距线天线阵的综合中的应用

韩明华; 袁乃昌

整体退火遗传算法在不等间距线天线阵的综合中的应用

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出版历程
- 收稿日期: 1997-09-23
- 修回日期: 1998-04-30
- 刊出日期: 1999-03-19

THE SYNTHESIS OF UNEQUALLY SPACED ARRAYS BY GENETIC ALGORITHM COMBINED WITH SIMULATED ANNEALING

摘要

摘要: 将一类非比例选择(整体退火选择)、保证收敛且易于判断收敛的新型遗传算法应用于不等间距天线阵的综合,对天线阵的位置和加权系数进行了优化。实验实例表明:该算法收敛速度快,有极强的避免过早收敛及避免局部极值的全局优化的能力。该方法为大型天线阵的优化设计提供了工具。
- 遗传算法; 天线阵; 优化
Abstract: A new type of genetic algorithm combined the parallel simulated annealing with the advantages of guaranteeing convergence and deciding convergence easily was proposed to the synthesis of unequally spaced arrays. The position and the weighted coefficients can optimize at the same time. The cases showed that this method has strong ability to find the global optimization solution. This method provides a strong tool to the design of the large antenna arrays.

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参考文献(1)

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