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. |
欢迎大家前来交流沟通!