论文标题
使用自然优化的蚂蚁桥接解决方案（NOABS）优化线性天线阵列的侧叶水平
Optimization of side lobe level of linear antenna array using nature optimized ants bridging solutions(NOABS)
论文作者
论文摘要
自然启发的算法为优化的复杂问题带来了解决方案，其中复杂问题的优化和解决方案高度复杂且非线性。有必要根据要优化的参数使用成本函数或健身功能的正确设计，可以用于解决任何类型的此类问题。在本文中，自然风格的算法在具有改善的辐射特性的天线阵列的最佳设计中发挥了重要作用。在本文中，将20个元素线性间隔阵列用作天线阵列系统中自然启发的优化的一个示例。该桥梁启发的陆军蚂蚁算法（NOABS）用于减少侧叶并改善其他辐射特性，以通过实施NOABS自然启发的算法来显示优化对设计特征的影响。整个模拟在20个元素线性天线阵列上进行。
Nature inspired algorithms has brought solutions to complex problems in optimization where the optimization and solution of complex problems is highly complex and nonlinear. There is a need to use proper design of the cost function or the fitness function in terms of the parameters to be optimized, this can be used in solving any type of such problems. In this paper the nature inspired algorithms has played important role in the optimal design of antenna array with improved radiation characteristics. In this paper, 20 elements linearly spaced array is used as an example of nature inspired optimization in antenna array system. This bridge inspired army ant algorithm(NOABS) is used to reduce the side lobes and to improve the other radiation characteristics to show the effect of the optimization on design characteristics by implementation of NOABS nature inspired algorithm. The entire simulation is carried out on 20 elements linear antenna array.
