Faculty of Technical Sciences

Subject: Methods of Optimization (17.E237)

Native organizations units: Sub-department for Automatic Control and Systems Engineering
General information:
 
Category Scientific-professional
Scientific or art field 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. Fundamentals of variational calculus. Direct methods of variational calculus. Optimal control. Pontryagin`s maximum principle. Dynamic programming, linear regulators. Numerical methods of dynamic optimization. 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
Course activity Pre-examination Obligations Number of points
Practical part of the exam - tasks No Yes 40.00
Oral part of the exam No Yes 30.00
Coloquium exam No No 40.00
Project Yes Yes 30.00
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Prof. Jeličić Zoran

Full Professor

Lectures
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Prof. Rapaić Milan

Full Professor

Lectures
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Assoc. Prof. Radović Mirna

Associate Professor

Lectures

Assistant - Master Kičić Aleksandar

Assistant - Master

Practical classes

Assistant - Master Golić Anastasija

Assistant - Master

Practical classes

Assistant - Master Zarić Dragan

Assistant - Master

Practical classes

Assistant - Master Topalov Stefan

Assistant - Master

Practical classes

Assistant - Master Radojičić Veljko

Assistant - Master

Practical classes

Assistant - Master Kičić Aleksandar

Assistant - Master

Computational classes

Assistant - Master Golić Anastasija

Assistant - Master

Computational classes

Assistant - Master Zarić Dragan

Assistant - Master

Computational classes
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Assistant - Master Gavrilović Milan

Assistant - Master

Computational classes

Assistant - Master Topalov Stefan

Assistant - Master

Computational classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.