| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 4805020 | 最佳化方法與應用 | Optimization Methods and Applications | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程旨在探討些最近發展之最佳化方法如模擬退火法，各種類神經網路，基因法則及塔布搜尋等啟發式演算法與線性規劃、非線性規劃、整數規劃計量方法，運用各種啟發式演算法與數量方法以最有效率方式求得全域最佳解。此外，相關之文獻及各種應用之領域將深入討論。 | |||
| 英文概述 English Description | The purpose of this course is to study some new optimization methods, like simulated neural networks, genetic algorithm, Tabu search, linear programming, nonlinear programming, and integer programming etc. Various heuristic algorithms and mathematic programming methods are utilized to solve practical optimization problems for finding the global optimum effectively. Moreover, the related literature reviews and applications areas will be discussed. | |||
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