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SA与GA算法在波束图设计中的比较分析
引用本文:杨丹,王英民,苟艳妮.SA与GA算法在波束图设计中的比较分析[J].计算机仿真,2008,25(8).
作者姓名:杨丹  王英民  苟艳妮
作者单位:西北工业大学航海学院,陕西,西安,710072
摘    要:针对模拟退火算法(SA算法)和遗传算法(GA算法)在阵列波束图设计上的应用进行了比较分析.SA算法和GA算法是近些年发展起来的两种全局优化算法,把这两种算法分别应用到线列阵波束图设计上.并通过改变那些相关参数反复仿真了多次,然后将其结果分别和线列阵的最佳加权-切比雪夫加权进行比较,可以发现它们基本逼近了切比雪夫加权的设计效果,满足了波束图设计的一般要求,并且发现GA算法较SA算法为优.

关 键 词:波束形成  模拟退火算法  遗传算法  线列阵  切比雪夫加权

Comparison of Simulated Annealing Algorithm with Genetic Algorithm Applied to Beam Pattern Synthesis
YANG Dan,WANG Ying-min,GOU Yan-ni.Comparison of Simulated Annealing Algorithm with Genetic Algorithm Applied to Beam Pattern Synthesis[J].Computer Simulation,2008,25(8).
Authors:YANG Dan  WANG Ying-min  GOU Yan-ni
Affiliation:YANG Dan,WANG Ying-min,GOU Yan-ni(College of Marine Engineering,Northwestern Polytechnical University,Xi'an Shanxi 710072,China)
Abstract:This paper compares Simulated Annealing algorithm with Genetic algorithm,which are applied to beam pattern synthesis.Simulated Annealing algorithm and Genetic algorithm are two global optimized methods with rigid astringency appeared in recent years.The paper applies these two algorithms to beam pattern synthesis of linear point array respectively,and repeats the emulation by changing those relational parameters,then compares their results with the method of Tschebyscheff polynomials.Simulation results show...
Keywords:Beamforming  Simulated annealing algorithm  Genetic algorithm  Linear point array  Tschebyscheff polynomials  
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