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非均匀线阵遗传优化方案的比较研究
Trade-off Studies on Genetic Algorithm Optimization Schemes for Nonuniform Linear Array
【摘要】 为使等幅边射直线阵具有尽可能低的最大副瓣电平 ,选择几种典型的选择算子和交叉算子组合构成遗传算法方案 ,进行遗传优化 ,并对 2 4种算法方案的优化效果作比较研究。结果表明 ,遗传算法方案设计的关键在于保持合适的种群多样性。如选用截断 +赌轮选择算子与均匀交叉算子组合的方案使 4 8单元边射直线阵的最大副瓣电平降低到- 2 6 .3d B。
【Abstract】 To make the maximum SLL of broadside array with equal excitation amplitude as low as possible, it is trade off studied that several GA schemes with different selection operators and crossover operators, and the optimized results of all the twenty four GA schemes are given. The results show that the key point of genetic algorithm design lies in proper population multiplicity. For example, the GA scheme with the truncation roulette selection and the uniform crossover can optimize the 48 element broadside array to maximum SLL of -26.3 dB.
- 【文献出处】 武汉理工大学学报 ,Journal of Wuhan University of Technology , 编辑部邮箱 ,2003年09期
- 【分类号】TP301.6
- 【被引频次】9
- 【下载频次】92