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.
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
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| ParticipationParticipation Participation |
10 | Student active participation in weekly meeting |
| Technical AbilityTechnical Ability Technical Ability |
50 | Student ability to follow technical optimization technique, both classical algorithm and modern tools |
| Written ReportWritten Report Written Report |
25 | Student ability to write academic report |
| Presentation and DiscussionPresentation and Discussion Presentation and Discussion |
15 | Student ability to formally make oral presentation of academic work and engagement in the discussion |
