186.190 Optimization in Transport and Logistics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2024S, VU, 2.0h, 3.0EC
TUWEL

Course evaluation

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to understand and apply the basics of modeling, algorithms, operations research, heuristic optimization. Advanced optimization techniques: branch-and-cut, branch-and-price, metaheuristics.  Focus will be placed on classical transportation problems such as TSP, vehicle routing, shipment.

Subject of course

Basics: modeling, algorithms, operations research, heuristic optimization. Advanced optimization techniques: branch-and-cut, branch-and-price, metaheuristics. Classical transportation problems: TSP, vehicle routing, shipment Didactics: - weekly lecture - exercise - oral exam

Teaching methods

The VU is held in blocks on selected dates. In addition to the lecture units, students work through calculation examples at home on one date after preparation. A programming task serves to consolidate the course content. The VU concludes with an exam.

Mode of examination

Written and oral

Additional information

Estimated Effort:

15h  Lecture
10h  Homework
15h  Programming Exercise I
15h  Programming Exercise II
20h  Exam Preparation and Exam
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75h Total

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon16:00 - 20:0004.03.2024 - 24.06.2024Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Optimization in Transport and Logistics - Single appointments
DayDateTimeLocationDescription
Mon04.03.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon11.03.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon18.03.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon08.04.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon15.04.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon22.04.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon29.04.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon06.05.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon13.05.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon27.05.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon03.06.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon10.06.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon17.06.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics
Mon24.06.202416:00 - 20:00Seminarraum FAV 01 C (Seminarraum 188/2) VU Optimization in Transport and Logistics

Examination modalities

The exam will be based on the material covered during the course.

Course registration

Begin End Deregistration end
23.02.2024 00:00 31.03.2024 00:00 31.03.2024 00:00

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Mandatory elective
066 926 Business Informatics Mandatory elective
066 931 Logic and Computation Mandatory elective
066 937 Software Engineering & Internet Computing Mandatory elective

Literature

  • Toth, Paolo, and Daniele Vigo, eds. Vehicle routing: problems, methods, and applications. Vol. 18. Siam, 2014.
  • Gendreau, M., & Potvin, J. Y. (2010). Handbook of metaheuristics (Vol. 2). New York: Springer.

Previous knowledge

Requirements:

  • knowledge of basic algorithms and data structures
  • knowledge of linear algebra and analysis, especially set theory, metrics, sequences and series

Language

English