Optimization on Transportation Networks

Lecturer:

Tutor:

Supervisor:

Department of Logistic and Transportation Processes

Synopsis:

Introduction to optimization and heuristic methods, metaheristic methods, the history of optimization.Lagrangean approach, assignment problem - Hungarian method, minimum weighted matching, Little´s algorithm, vehicle routing problem - an extension of TSP, heuristic solution approaches to vehicle routing problem, local search techniques, Tabu Search, location problems - heuristic algorithms, genetic algorithms and extensions of genetic algorithms.

Requirements:

basic knowledge of optimization problems and solution approaches - travelling salesman problem, location problems

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

The student will learn some modern heuristic methods applicable in transportation problems solving.

Study materials:

Mocková D.: Principles of Transportation Theory, Prague, CTU in Prague 2007

Janáček J.: Optimization on Transportation Nets, Žilina, University of Žilina 2002

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: