授课人：玄光男 教授
课程名称：遗传算法
授课地点：科研楼310
具体安排如下：
| 日期 | 时间 | 内 容 | ||||||||
| 10.18 | 13:00-16:00 | 1. Introducing Genetic Algorithms and Applications | ||||||||
| 2. Evolutionary Algorithm and Multimodal Optimization Problem | ||||||||||
| 3. Multi-objective Genetic Algorithms and Applications | ||||||||||
| 10.25 | 4. Shortest Path Models and Case Study | |||||||||
| 5. Minimum Spanning Tree (MST) Models and Applications | ||||||||||
| 6. Maximum Flow (MXF) and Minimum Cost Flow (MCF) Models | ||||||||||
| 11.1 | 7. Basic Logistics Models and Case Study | |||||||||
| 8. SCM (Supply Chain Management) Network Models | ||||||||||
| 11.8 | 9. Mid-term Exam. | |||||||||
| 10. Reverse Logistics Models and Case Study | ||||||||||
| 11. Flow-shop Scheduling and Job-shop Scheduling Models | ||||||||||
| 11.15 | 12. Flexible Job-shop Scheduling and Re-entrant Flow-shop Scheduling | |||||||||
| 13. Parallel Machine Scheduling | ||||||||||
| 11.29 | 14. Advanced Planning and Scheduling | |||||||||
| 15. Assembly Line System and Balancing Models | ||||||||||
| 12.06 | 16. AGV Dispatching Models | |||||||||
| 17. Semiconductor Manufacturing Scheduling and Case Study | ||||||||||
| 12.13 | 18. Final Exam. | |||||||||
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