摘要
将蚁群算法应用于优化阵元电流幅度,以实现对阵列天线方向图的综合。并针对传统蚁群算法难以解决电流激励幅度这样的连续变量优化和早熟收敛的问题,提出了一种改进型蚁群算法。该改进型蚁群算法对变量采用不整编码并在寻优过程中采用邻域优化方法,使其既可以对连续变量寻优,又同时改善了算法的优化速度和收敛精度。计算结果表明:该改进型蚁群算法在改变阵元激励幅度的方向图综合问题上取得比相关文献更好的结果。
Ant colony optimization（ACO）algorithm is applied to synthesize the array antenna pattern by controlling only the current amplitudes.In order to overcome the drawbacks of the standard ACO,such as premature convergence and difficulty in dealing with optimizing continuous variable（e.g.the current amplitudes）,a modified ACO algorithm is proposed.The technology of nonintegral encoding and the method of optimization in vicinity are adopted in the modified algorithm,which can optimize continuous variable and improve the convergence speed and accuracy.The simulation results are presented to show that the modified algorithm may obtain better results than those reported in other literatures.
出处
《电波科学学报》
EI
CSCD
北大核心
2012年第3期447-451,464,共6页
Chinese Journal of Radio Science
基金
国家自然科学基金(No.61001002)
关键词
蚁群算法
早熟收敛
方向图综合
邻域优化
ant colony optimization
premature convergence
patterns synthesis
optimization in vicinity
