Subject: Optimization Methods (17.E237A )
Native organizations units: Sub-department for Automatic Control and Systems Engineering
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Undergraduate Academic Studies | Geodesy and Geoinformatics (Godina: 3, Summer) |
Educational goal:
Mastering the theoretical and practical fundamentals of nonlinear optimization in static and dynamic systems.
Educational outcome:
Acquired knowledge can be used in solving the specific engineering problems, and it also represents the basis for taking other professional courses.
Course content:
Formulation of the optimization problem. Theoretical bases for static optimization. Analytical determination of extremes, functions with one or more variables without constraints. Analytical determination of extremes, functions with one or more variables with constraints, equality and inequality types. Linear programming. Numerical solving of one-dimensional problems. Numerical solving of multi-dimensional problems with and without constraints. Basics of calculus of variation. Contemporary optimization procedures: genetic algorithm, particle swarm optimization. Application of optimization methods in artificial neural networks and in fuzzy-logic based systems. Examples of optimization in practical engineering problems in geodesy and geoinformatics.
Teaching methods:
Lectures; numerical – computing practice, computer practice; laboratory practice, consultations. The examination is written and oral. Written part of the examination consists of at least 4 tasks. Condition for passing the examination is the tasks have to be done with at least 50% of success.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| Vujanović, B., Spasić D. | Metodi optimizacije | 1998 | Univerzitet u Novom Sadu, Novi Sad | Serbian language |
| Petrić, J., Zlobec, S. | Nelinearno programiranje | 1983 | Naučna knjiga, Beograd | Serbian language |
| 2004 | English | |||
| Kanović, Ž., Rapaić, M., Jeličić, Z. | Evolutivni optimizacioni algoritmi u inženjerskoj praksi | 2017 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Coloquium exam | No | No | 40.00 |
| Oral part of the exam | No | Yes | 30.00 |
| Practical part of the exam - tasks | No | Yes | 40.00 |
| Project | Yes | Yes | 30.00 |
Lecturers:
prof. dr Kanović Željko
Full Professor
Lectures
prof. dr Kanović Željko
Full Professor
Practical classes
doc. dr Bugarski Vladimir
Assistant Professor
Lectures
Asistent Ruskovski Igor
Assistant - Master
Computational classes
Faculty of Technical Sciences
© 2024. Faculty of Technical Sciences.
Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.