Type of studies | Title |
---|---|
Undergraduate Academic Studies | Information Engineering (Godina: 3, Winter) |
Category | Scientific-professional |
Scientific or art field | Automatic Control and System Engineering |
Interdisciplinary | No |
ECTS | 8 |
Students learn about theoretical and practical bases of non-linear optimization of static and dynamic systems.
Students will lear to recognize, formulate and solve optimization problems, i.e. tasks involving identification of the best admissible solution of a given problem. Optimization problems are ubiquotious in engineering. Having in mind the existence of broad plaethora of optimization methods, the students will learn how to recognize the one best suited for the problem at hand, as well as how to implement the chosen method in the concrete situation.
Formulation of optimization problem. Theoretical bases of static optimization. Analytical system determination, functions of one or more variables without constraints. Analytical determination of extremes, functions of one or more variables with constraints on the type of equality and inequality. Linear programming. Numerical solutions of one-dimensional problems. Numerical solutions of multi-dimensional problems with and without constraints. Dynamic programming. Modern optimization procedures: genetic algorithm, simulated annealing, PSO. Application of optimization procedures in training artificial neural networks and fuzzy logic systems. Examples of optimization of practical engineering problems.
Lectures, Numerical and calculation practice. Computer practice. Laboratory practice. Consultations. The examination is written and oral. The written part consists of at least four parts, in order to achieve a passing grade min 50 % each task must be completed successfully. The course material can be divided into two colloquia. The oral part of the examination is based on a list of examination questions. The colloquia, tests and examination are written. The written part is eliminating. The final grade is formed on the basis of colloquia, homework assignments, written and oral part of the examination.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
2004 | English | |||
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 |
Kanović, Ž., Rapaić, M., Jeličić, Z. | Evolutivni algoritmi u inženjerskoj praksi | 2017 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
Numerical Optimization | 2006 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Project | Yes | Yes | 30.00 |
Oral part of the exam | No | Yes | 30.00 |
Coloquium exam | No | No | 40.00 |
Practical part of the exam - tasks | No | Yes | 40.00 |
Teaching Associate
Full Professor
Teaching Associate
Teaching Associate
Teaching Associate
Associate Professor
Teaching Associate
Assistant - Master
Teaching Associate
Full Professor
Assistant - Master
© 2024. Faculty of Technical Sciences.
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.