第五章 和弦搜尋法反算 - 新山壩案例
6.2 建議
1. 本研究所使用之和弦搜尋演算法之參數設定(HMCR、PAR、bw) 均為定值，且為經過數次測試結果判斷後所選定之值。因此，未 來可配合迭代過程設定參數為動態模式，使得一開始搜尋解能更 加多樣化與全域性，並隨著迭代次數增加，慢慢提升解之收斂性，
以加快整體求解之效率。
2. 本研究所使用之 HMS 均設定為 10，且參數設定值也較為主觀性 之設定，因此未來研究可進一步針對不同參數值設定作參數之探 討。
3. 本研究以 MATLAB 為主控伺服並配合 FLAC 為計算引擎進行滲流 分析之最佳化求解，求解搜尋過程為一次迭代進行一個計算，而 非一次迭代進行一組(數個)計算之主要原因為，FLAC 佔用時間超 過 99%。因此對於設計變數為連續變數形式且變數量小於 3 個時，
可考慮令 PAR 參數值設定大一些(設定值仍是要以各問題型態應 用不同而做調整)，或是配合 TS 最佳化演算法之短期記憶之技巧，
以避免重複計算、耗費時間。
4. 本研究僅針對新山壩現況之浸潤面模擬與總壩體滲流量做進一步 探討，尚未針對下游平台處滲漏水情形做完整解釋，因此建議後 續可針對此部份以最佳化求解法進行求解，以檢視是否因壩體殼 層內部存在施工介面或局部棲止水等因素，使得雨水入滲至殼層 後將各個局部透水通道連通，最後在匯流至下游坡面附近出漏。
5. 由此二維模擬結果可看出，壩體內部各材料分佈是不均勻的，更 何況是實際壩體為三維空間分佈。因此，對於探討土石壩體內部 之最佳化問題時，不妨先藉由現地試驗、監測與鑽探等有限資訊，
盡可能瞭解各現象後，再開始進行最佳化演算法之問題模式化，
以達到使用最佳化演算法進行最佳化問題反算分析之目的。
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