本研究深入探討了最佳化演算法與混合系統在地震工程和地盤反應分析中的應用，特別是針對台灣離岸風電結構設計的需求。研究中使用改良的雙曲線模型方法來分析離岸風機場址的土壤地盤反應分析，並利用最佳化演算法在此過程中的貢獻來提高準確性與效率。在研究中，混合系統是由基因演算法（GA）和粒子群演算法（PSO）組成，並應用於地盤反應分析中的動態參數最佳化。這些演算法和混合系統的演算法通過與現有分析軟體的結果對比，證明了其在擬合動態曲線精準度和提升運算效能上的優勢。研究還深入探討了不同演算法的混和系統方法，例如將部分群體使用GA演算法進行運算，剩餘群體使用PSO演算法進行運算後組成新一代群體，或是使用GA先進行粗略的全域搜索，再利用PSO進行精確的局部優化，從而在動態曲線擬合方面取得更高的準確性和效率。這種混合系統可以為工程設計提供更穩定、可靠的解決方案，特別是在涉及台灣離岸風電這類大型基礎設施的設計與安全性上。此外，本研究在實際應用方面，提出了一個可行的框架，可以有效應用於更複雜的工程環境。這不僅為地震工程分析提供了新的方法，還為未來的混合系統最佳化技術應用於其他地盤反應分析領域提供了參考。

This study delves into the application of optimization algorithms and hybrid systems in earthquake engineering and ground response analysis, particularly catering to the design needs of offshore wind structures in Taiwan. The study employs a modified hyperbolic model method to analyze the soil ground response at offshore wind turbine sites and leverages optimization algorithms to enhance accuracy and efficiency in this process.In the research, the hybrid system consists of the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), which are applied for dynamic parameter optimization in ground response analysis. These algorithms and the hybrid system, compared to existing analysis software results, demonstrate their advantage in curve-fitting accuracy and computational efficiency. The study also thoroughly examines hybrid methods that combine different algorithms. For instance, some populations are processed using the GA while others are handled by the PSO, then combined into a new generation. Another approach involves using GA for a rough global search and PSO for precise local optimization, achieving higher accuracy and efficiency in dynamic curve fitting. This hybrid system can provide a more stable and reliable solution for engineering design, particularly for designing and securing large-scale infrastructures like offshore wind power in Taiwan. Furthermore, the study proposes a practical framework that can be effectively applied to more complex engineering environments. This not only offers a new perspective on earthquake engineering analysis but also serves as a reference for applying hybrid system optimization techniques in other ground response analysis fields.

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