次經驗法則計算
Metaheuristic Computing
| 節 | 週一 |
|---|---|
5 13:20–14:10 | 次經驗法則計算 MB311（光復） 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
Introduce the fundamental theory and techniques widely used in computational intelligence, specially focused on metaheuristics. These methodologies have been successfully applied to a variety of business applications. The students enrolled in this course will learn the interface between computational methods and business models and have a chance to practice the core ideas. The course involves a number of components, namely the genetic algorithms, swarm intelligence, simulated annealing, adaptive memory programming, scatter search, GRASP, multi-objective metaheuristics, benchmark testing data sets and business applications.
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期中考15%; 期末考15%; 論文報告30%; 期末專題報告: 40%
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction |
| 第 2 週 | Genetic algorithms (GA, ES) |
| 第 3 週 | Genetic algorithms (EP ,GP) |
| 第 4 週 | Swarm intelligence (PSO) |
| 第 5 週 | Swarm intelligence (ACO) |
| 第 6 週 | Business applications |
| 第 7 週 | Paper presentations |
| 第 8 週 | Midterm exam. |
| 第 9 週 | Simulated annealing |
| 第 10 週 | Adaptive memory programming (TS) |
| 第 11 週 | Adaptive memory programming (PR, SS, Ejection Chain) |
| 第 12 週 | Adaptive memory programming (GRASP, VNS) |
| 第 13 週 | Business applications |
| 第 14 週 | Paper presentations |
| 第 15 週 | Multi-objective metaheuristics |
| 第 16 週 | Multi-objective metaheuristics |
| 第 17 週 | Project Presentations |
| 第 18 週 | Final exam. |
Reference Book(s): D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison Wesley, Reading, Massachusetts, 1997. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, Springer, 1996. 請使用正版教科書 E. Bonabeau, M. Dorigo, and G. Theraulaz, Swarm Intelligence, Oxford Press, 1999. F. Glover and M. Laguna, Tabu Search, Kluwer Academic Publishers, 1997.
- 地點
- 資管所MB301
- 時間
- 星期一 13:00PM ~ 16:00PM
- 聯絡方式
- 5712121-57051