 | Study programme 2019-2020 | Français | |
| Optimisation Methods | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-MARO-152 |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 24 | 16 | 0 | 0 | 0 | Q1 |
| Organisational online arrangements for the end of Q3 2019-2020 assessments (Covid-19) |
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| Description of the modifications to the Q3 2019-2020 online assessment procedures (Covid-19) |
| A written examination (remotely via Moodle examens) covering the three parts (Theory, exercices and Modeling) and accounting for 100% of the AA's evaluation. |
Content of Learning Activity
Continuous linear programming (real variables) : Simplex algorithm; duality; dual algorithm;Integer linear programming (discrete variables) : Branch and Bound algorithm; Combinatorial optimization; extensions and problem modelling.Revised Simplex algorithm; treatment of bounded variables ; sensitivity analysis; modelling of linear problems; use of an optimization tool (Excel solver).
Required Learning Resources/Tools
Not applicable
Recommended Reading
Copie de présentation - Méthodes d'optimisation - D. Tuyttens
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Teghem, J., Programmation linéaire, Editions de l'ULB, Editions Ellipses, Bruxelles, 2003 Guéret C., Prins C. et Sevaux M. 2000, Programmation linéaire, Editions Eyrolles,.
Mode of delivery
- Face to face
Type of Teaching Activity/Activities
- Cours magistraux
- Ateliers et projets encadrés au sein de l'établissement
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)