19M074OOA - Optimization algorithms in engineering

Course specification
Course title		Optimization algorithms in engineering
Acronym		19M074OOA
Study programme		Electrical Engineering and Computing
Module
Type of study		master academic studies
Lecturer (for classes)		professor PhD Dragan Olćan asst. professor PhD Jelena Dinkić
Lecturer/Associate (for practice)		asst. professor PhD Jovana Petrović asst. professor PhD Jelena Dinkić professor PhD Dragan Olćan
Lecturer/Associate (for OTC)		asst. professor PhD Jovana Petrović asst. professor PhD Jelena Dinkić professor PhD Dragan Olćan
ESPB		6.0	Status	elective
Condition		None.
The goal		Detailed overview of optimization algorithms used in engineering practice. Introduction to concepts of solving optimization problems in practical applications.
The outcome		Students will be able to apply outlined optimization algorithms for solving practical problems.
Contents
URL to the subject page		http://mtt.etf.rs/ms/osnovni.optimizacioni.algoritmi.htm
Contents of lectures		Terminology and theory of optimization problems. Classification of optimization problems and algorithms. Random search, systematic search, gradient method, traditional methods, simplex algorithms, genetic algorithm, simulated annealing, differential evolution and particle swarm optimization. Multicriteria optimization. Pareto front. Practical applications.
Contents of exercises		Solving optimization problems using computer.
Literature
Z. Michalewicz, D.B. Fogel, How to Solve It: Modern Heuristics, Springer; 2nd edition, 2004. (Original title) Xin-She Yang, Engineering Optimization: An Introduction with Metaheuristic Applications, Wiley, 2010. (Original title) D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Professional, 1989. (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
2	2	1
Methods of teaching		Lectures, coding, tests, homeworks and individual projects.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		60	Test paper	30
Practical lessons		10	Oral examination
Projects
Colloquia
Seminars