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Theory of Transport

Course Code:
17TEDI
Academic Degree:
doctoral
Study Programme:
Engineering Informatics (P 3902)
languagestudy field / specialization
czech, english flagI Engineering Informatics of Transportation and Communication - 3902V036
Form of Study:
full-time and part-time
Type of Course:
optional
Course Completion:
exam
v DB je chyba..
Supervising Department:
Department of Logistics and Management of Transport (16117)
Abstract:
• Paths in undirected graphs • Paths in directed graphs • Minimum spanning trees, Eulerian and Hamiltonian graphs • Traveling salesman problem, Vehicle routing problem, heuristic methods • Network flow • Graph planarity • Graph coloring • Trees • Assignment problem • Location and allocation problems • Discrete location problems • Continuous location problems • Discrete optimization problems and their solution • Application of genetic algorithms to discrete optimization problems • Selected topics from mathematical optimization of transportation problems