An Improved Multi-Objective Genetic Algorithm for Large Planar Array Thinning
An Improved Multi-Objective Genetic Algorithm for Large Planar Array Thinning
复制标题
大型平面阵列细化的改进多目标遗传算法
DOI：
10.1109/tmag.2015.2481883
复制
发表时间：
2016-03-01
影响因子：
2.1
通讯作者：
Li, Ya-Peng
中科院分区：
文献类型：
--
作者：
Cheng, You-Feng;Shao, Wei;Li, Ya-Peng
提出了一种基于非支配排序遗传算法Ⅱ的混合多目标优化算法，用于大阵列稀疏问题。在优化算法中引入了带判断因子的快速傅里叶变换（IFFT）迭代技术，加快了算法的收敛速度。遗传算法的全局特性在寻优过程的早期阶段显示了其寻优能力，而IFFT算法强大的局部搜索能力则在寻优过程的后期阶段发挥作用。因此，该算法不仅可以有效地避免陷入局部最优，而且具有快速收敛的大型阵列稀疏。几个有代表性的大型平面稀布阵算例验证了该算法的良好性能。
In this paper, a novel hybrid multi-objective optimization algorithm based on the nondominated sorting genetic algorithm II for large array thinning is presented. The iterative fast Fourier transform (IFFT) technique with a judge factor is introduced into the optimizer to accelerate the convergence. The global characteristics of a genetic algorithm show its optimization capability in the early phase of the optimization process and the powerful local search ability of IFFT works in the late phase. Thus, this proposed algorithm can not only effectively avoid being trapped into the local optimum but also possess a fast convergence for large array thinning. Several representative examples of large planar thinned arrays validate the good performance of the proposed algorithm.