5569 - Special Topics in Optimization 英授 Taught in English
Special Topics in Optimization
教育目標 Course Target
1. In-depth discussion on classical optimization concepts and techniques, including linear programming, integer programming, non-linear programming, and multi-objective optimization.
2. Introduction of various tools to solve various forms of mathematical programming formulation, including Microsoft Excel Solver, LINGO, and Python Library.
3. Present state-of-the-art development in evolutionary technique for solving optimization problem, including Genetic Algorithm, Particle Swarm Optimization.
4. Discussion on application of various optimization techniques for solving problems in industrial engineering fields.
1. In-depth discussion on classical optimization concepts and techniques, including linear programming, integer programming, non-linear programming, and multi-objective optimization.
2. Introduction of various tools to solve various forms of mathematical programming formulation, including Microsoft Excel Solver, LINGO, and Python Library.
3. Present state-of-the-art development in evolutionary technique for solving optimization problem, including Genetic Algorithm, Particle Swarm Optimization.
4. Discussion on application of various optimization techniques for solving problems in industrial engineering fields.
參考書目 Reference Books
1. Rao, Singiresu S. 2019. Engineering Optimization. (5th Edition). Wiley
2. Baker, Kenneth R. 2015. Optimization Modeling with Spreadsheets. (3rd Edition). Wiley
3. LINDO System. 2019. LINGO The Modeling Language and Optimizer.
4. Pereira, Valdecy. 2022. pyMetaheuristic: A Comprehensive Python Library for Optimization
5. Selected international journal articles in the area of Production/Operation Management
1. Rao, Singaporesu S. 2019. Engineering Optimization. (5th Edition). Wiley
2. Baker, Kenneth R. 2015. Optimization Modeling with Spreadsheets. (3rd Edition). Wiley
3. LINDO System. 2019. LINGO The Modeling Language and Optimizer.
4. Pereira, Valdecy. 2022. pyMetaheuristic: A Comprehensive Python Library for Optimization
5. Selected international journal articles in the area of Production/Operation Management
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
Participation Participation |
10 | Student active participation in weekly meeting |
|
Technical Ability Technical Ability |
50 | Student ability to follow technical optimization technique, both classical algorithm and modern tools |
|
Written Report Written Report |
25 | Student ability to write academic report |
|
Presentation and Discussion Presentation and Discussion |
15 | Student ability to formally make oral presentation of academic work and engagement in the discussion |
授課大綱 Course Plan
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 5569
- 學分 Credit: 3-0
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上課時間 Course Time:Friday/5,6,7[IEⅡ102]
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授課教師 Teacher:The Jin Ai
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修課班級 Class:工工碩博1,2
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選課備註 Memo:英語授課
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