Facts about the course
- ECTS Credits:
- 2.5
- Responsible department:
- Faculty of Logistics
- Course Leader:
- Arild Hoff
- Lecture Semester:
- Autumn
- Teaching language:
- English
- Duration:
- ½ year
LOG904-126 Decision Modeling and Metaheuristics (Autumn 2020)
About the course
This is an applied course in which students will be exposed to a variety of decision modeling applications from business to supply chain management. It has two parts, the first one is based on mathematical models, and the second part on algorithmic coding. In the first part we apply Integer Linear Programming (ILP), Non-LP and MultiObjective methods in the Excel Solver to target logistic problems. In the second part we cover metaheuristic methodologies, by implementing GRASP and tabu search algorithms in Visual Basic for Excel.
Topics covered:
1. Modeling and Mathematical Programming,
2. Integer Models,
3. Global and Multi-Objective Optimization,
4. Metaheuristics: GRASP,
5. Metaheuristics: Tabu Search.
The course is connected to the following study programs
- Master of Science in Logistics
- Experience-based Master in Logistics
- Master of Science in Sustainable Energy Logistics
- Exchange programme - Master's level
- Master of Science in Sustainable Transport and Urban Mobility
Recommended requirements
Basic concepts on Optimization and use of Excel>
The student's learning outcomes after completing the course
Become proficient in fact-based management. Create mathematical models, identify their structure, find and analyze results. Use the Excel spreadsheet to model and solve optimization problems. Code an algorithm in computer language to obtain heuristic solutions.
Forms of teaching and learning
A daily class from 9:15 to 12:00. These methodological classes are complemented with two sessions on applications: Tuesday and Thursday from 13:00 to 15:00.
Examination
Form of assessment: Home assessment without presentation
-
Proportion: 50%
-
Duration: -
-
Grouping: Individual
-
Grading scale: Letter (A - F)
-
Support material: All printed and written supporting material
Form of assessment: Home assessment without presentation
-
Proportion: 50%
-
Duration: -
-
Grouping: Individual
-
Grading scale: Letter (A - F)
-
Support material: All printed and written supporting material