| 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 |
|---|---|---|---|---|
| 3735012 | 啟發式演算法 | Heuristic Algorithm | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程聚焦於進化計算方法、模擬退火法、遺傳演算法、蟻群優化法和粒子群優化等啟發式演算法之介紹，以及演算法於經典最佳化問題之應用，並以管理科學之實務案例討論演算法之應用。 | |||
| 英文概述 English Description | This course focuses on the introduction to heuristic and metaheuristic algorithms, including Evolutionary Computation, Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO), and their application in well-known optimization problems. Case studies for a variety of problems will also be discussed. | |||
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