| 基于欧式距离约束自适应遗传算法的参差码搜索 |
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| 引用本文： | 张明博,罗丰.基于欧式距离约束自适应遗传算法的参差码搜索[J].电子科技,2009,22(11):23-27. |
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| 作者姓名： | 张明博 罗丰 |
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| 作者单位： | 西安电子科技大学,雷达信号处理国家重点实验室,陕西,西安,710071 |
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| 基金项目： | 重点实验室基金资助项目 |
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| 摘 要： | 提出了一种基于欧式距离约束的自适应遗传算法（Euclidean distance-Adaptive Genetic Algorithm,EAGA）,该算法将欧式距离引入自适应交叉概率,使交叉概率随适应度和个体之间的相似度自适应变化,更好地增强种群的多样性,保存优良个体;为了防止EAGA在优化过程中出现退化现象,通过融合按照一定规则产生的新个体对算法进行了改进。采用EAGA选择最优参差比,使滤波器的零点尽可能的浅,在有效抑制杂波的同时避免目标丢失。同标准遗传算法相比,EAGA表现出了较好的搜索性能。
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| 关 键 词： | 遗传算法 欧式距离 自适应控制 参差码 |
Optimal Selection of Nonuniform Code of Radar Based on Euclidean Distance-adaptive Genetic Algorithm |
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| Zang Mingbo,Luo Feng.Optimal Selection of Nonuniform Code of Radar Based on Euclidean Distance-adaptive Genetic Algorithm[J].Electronic Science and Technology,2009,22(11):23-27. |
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| Authors: | Zang Mingbo Luo Feng |
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| Affiliation: | Zang Mingbo,Luo Feng(State Key Laboratory of Radar Signal Processing,Xidian University,Xi'an 710071,China) |
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| Abstract: | A novel adaptive genetic algorithm based on Euclidean distance is presented.By applying Euclidean distance into the adaptive crosser operator,this algorithm can better strengthen the diversity of population and preserve the desirable individuals.Some improvements are also realized to prevent degeneration in the process of optimization by introducing new individuals generated by certain rules into the group.Compared with SGA,EAGA shows a better global search capacity. |
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| Keywords: | genetic algorithm Euclidean distance adaptive control staggered code |
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