通訊科技的進步與發展，近幾年已完全改變人類的生活方式，亦帶來更多的便利，其中天線通訊陣列在無線通訊領域為重要之技術。由於天線陣列的分析與設計，在無線通訊領域中扮演相當重要的地位，因此本研究擬應用嶄新的進化演算法，應用於天線陣列的分析與最佳化設計，以探討無線通訊電磁能量的集中問題。本研究屬於高複雜度的非線性最佳化問題，因此本論文應用「水流優化演算法」(Water Flow Optimization Algorithm；WFOA)、「人工魚群優化演算法」(Artificial Fish Swarm Optimization Algorithm；AFSOA)以及「結合粒子群與水流優化演算法」(Combining Water Flow Optimization Algorithm with Particle Swarm Optimization；PSO-WFOA)來解決這個非線性最佳化問題。這些方法將有助於解決天線陣列高複雜度的非線性最佳化問題。經過實際數值模擬測試結果，證實本研究的最佳化流程，能在主波束寬度的限制下，成功搜尋到天線陣列元素最佳的位置及權重，使輻射場型達到最低旁波瓣的效果。本研究的最佳化流程，並能應用於其他研究領域，非常適合用於處理工程領域之最佳化問題。

The progress and development of the communication technology have great impacts on the everyday life of human beings. The antenna array is one of the most important technologies in wireless communication. This then motivates us to develop efficient optimization flowchart to design antenna arrays. In this thesis, we utilize the new evolutionary optimization algorithms to achieve optimum design of antenna arrays. Thus the electromagnetic energy of communication can be collected together and electromagnetic interferences can be reduced. This problem is very complicated and is involved in lots of computational difficulties. The evolutionary optimization algorithms utilized in this study include the Water Flow Optimization Algorithm (WFOA), the Artificial Fish Swarm Optimization Algorithm (AFSOA), and the Water Flow Optimization Algorithm with Particle Swarm Optimization (PSO-WFOA). These optimization algorithms will help us to achieve the optimum design of antenna arrays. With the use of proposed optimization flowchart, the side-lobe level of array radiation pattern is greatly degraded by adjusting the positions and exciting weights for elements of antenna arrays under the constraint of certain beam-width. The proposed optimization flowchart can also be utilized to treat many other nonlinear optimization problems in engineering.

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