Subject: Optimization Methods (06 - E237)


Basic Information

CategoryScientific-professional
Scientific or art field:Automatic Control and System Engineering
InterdisciplinaryNo
ECTS8
Course specification

Course is active from 01.10.2005..


Precondition courses

Course idMandatoryMandatory
Mathematical Analysis 1YesYes

Course which have preconditioned courses Optimization Methods

Course idMandatoryMandatory
Digital Control SystemsYesNo
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.
AuthorsNameYearPublisherLanguage
J. Petrić, S. ZlobecNelinearno programiranje1983Naučna knjiga, BeogradSerbian language
B. Vujanović, D. SpasićMetodi optimizacije1998Univerzitet u Novom SaduSerbian language
Dimitri P. Bertsekas Nonlinear Programming 2004 Athena Scientific English
Course activity Pre-examination ObligationsNumber of points
ProjectYesYes30.00
Coloquium examYesNo40.00
Oral part of the examNoYes30.00
Practical part of the exam - tasksNoYes40.00
Name and surnameForm of classes
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Jeličić Zoran
Full Professor

Lectures
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Rapaić Milan
Associate Professor

Lectures
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Jakovljević Boris
Assistant Professor

Practical classes
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Kanović Željko
Associate Professor

Practical classes
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Petković Milena

Practical classes
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Petković Milena

Computational classes
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Kanović Željko
Associate Professor

Computational classes
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Jakovljević Boris
Assistant Professor

Computational classes