Masterstudium Business Informatics - Fakultät für Informatik, TU Wien

Courses of Module:
3.0/2.0 VU Managing People and Organizations
3.0/2.0 VU Organization Theory
SBA/ORM - Operations Research Methods
ECTS-Credits: 6.0
Summary: This module covers important algorithmic techniques for problem solving
and optimization from the domain of operations research. Included are in particular mixed
integer programming methods and (meta-)heuristic algorithms as well as dedicated
methods for the domain of transport optimization. A lecture covers the theoretical background,
theoretical and practical exercises, including programming examples, deepen the
knowledge.
Learning Outcomes:
Knowledge:
Skills:
• Knowledge of exact and heuristic optimization algorithms
• Prominent problems from the domain of transport optimization
• Modeling operations research problems
• Designing and implementing suitable optimization algorithms
Competences:
• Development of new algorithmic approaches
Syllabus: Prominent problems in transport logistics, such as vehicle routing problems, facility
location, assignment problems; constructive heuristics; local search based methods;
simulated annealing; Tabu search; variable neighborhood search; very large scale neighborhood
search methods; population based heuristics; evolutionary algorithms; mixed
integer programming; branch-and-cut; branch-and-price
Teaching and Learning Methods and Adequate Assessment of Performance: The module
is organized along lectures, theoretical and practical exercises including programming
examples.
Courses of Module:
3.0/2.0 VU Optimization Techniques in Transport Logistics
3.0/2.0 VU Heuristic Optimization Techniques
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