通訊科技的發展改變了人類的生活品質，而通訊陣列是實現無線通訊的基本媒介工具。本研究採用野草算法，調整陣列元素之位置，且須符合主波瓣束寬之限制條件，用以達成陣列波束函數旁波辮級之極小化，達成陣列問題最佳化之目的。首先，介紹陣列天線之相關知識和陣列波束函數方程，以及如何在限制條件內做最佳化處理。模擬結果顯示，應用野草算法能有效率的達成最佳化目標，收斂至全域解所需花費時間較少，能有效處理線性和非線性最佳化問題，並能應用於其他研究領域，非常適合用於工程領域之最佳化問題。

The rapid development of communication technology has improved the quality of human life. It is well known that the antenna array plays an important role in a wireless communication system. In this study, the Invasive Weeds Algorithm is applied to adjustment of optimum position for antenna arrays. Optimization is implemented by minimizing the side-lobe level under the constraint of desired main-beam width. Initially, fundamentals of antenna arrays and functions of radiation patterns are introduced. Next, detailed procedures for achieving the optimization are given. Simulation results show that optimization of radiation patterns based on Invasive Weed Algorithm is very efficient. It spends less time to achieve global convergence, and is thus suitable to treat linear and nonlinear problems in engineering. In addition, the proposed scheme can also be extended to treat optimization problems in many other fields of engineering.