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Faculty of Technical Sciences

Subject: Optimization Algorithms and Nonlinear Programming (17.IFE215)

General information:
 
Category Scientific-professional
Scientific or art field
  • Information-Communication Systems
  • Automatic Control and System Engineering
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
Dimitri P. Bertsekas Nonlinear Programming 2004 Athena Scientific English
Nocedal, Jorge Numerical Optimization 2006 Springer English
Course activity Pre-examination Obligations Number of points
Practical part of the exam - tasks No Yes 40.00
Project Yes Yes 30.00
Oral part of the exam No Yes 30.00
Coloquium exam No No 40.00
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Prof. Zoran Jeličić

Full Professor

Lectures

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Assoc. Prof. Mirna Radović

Associate Professor

Lectures

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Prof. Milan Mirković

Full Professor

Lectures

Assistant - Master Aleksandar Kičić

Assistant - Master

Practical classes

Assistant - Master Anastasija Golić

Assistant - Master

Practical classes

Assistant - Master Dragan Zarić

Assistant - Master

Practical classes

Teaching Associate Nikolina Živanović

Teaching Associate

Practical classes

Assistant - Master Aleksandar Kičić

Assistant - Master

Computational classes

Assistant - Master Anastasija Golić

Assistant - Master

Computational classes

Assistant - Master Dragan Zarić

Assistant - Master

Computational classes

Teaching Associate Nikolina Živanović

Teaching Associate

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.