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FIT-EVOAcad. year: 2024/2025
Overview of principles of stochastic search techniques: Monte Carlo (MC) methods, evolutionary algorithms (EAs). Detailed explanation of selected MC algorithms: Metropolis algorithm, simulated annealing, their application for optimization and simulation. Overview of basic principles of EAs: evolutionary programming (EP), evolution strategies (ES), genetic algorithms (GA), genetic programming (GP). Advanced EAs and their applications: numerical optimization, differential evolution (DE), social algoritmhs: ant colony optimization (ACO) and particle swarm optimization (PSO). Multiobjective optimization algorithms. Applications in solving engineering problems and artificial intelligence.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
Computer practices, project submission, final exam.
Aims
Study aids
Prerequisites and corequisites
Basic literature
Bäck, T.: Evolutionary Algorithms in Theory and Practice. Oxford University Press, Oxford, 1996, ISBN 978-0195099713
Brabazon, A., O'Neill, M., McGarraghy, S.: Natural Computing Algorithms. Springer-Verlag Berlin Heidelberg, 2015, ISBN 978-3-662-43630-1
Eiben, A.E., Smith, J.E.: Introduction to Evolutionary Computing, 2nd ed. Springer-Verlag Berlin Heidelberg, 2015, ISBN 978-3-662-44873-1
Jansen, T.: Analyzing Evolutionary Algorithms. Springer-Verlag, Berlin Heidelberg, 2013, ISBN 978-3-642-17338-7
Recommended reading
Classification of course in study plans
specialization NADE , any year of study, summer semester, electivespecialization NBIO , any year of study, summer semester, electivespecialization NGRI , any year of study, summer semester, electivespecialization NNET , any year of study, summer semester, electivespecialization NVIZ , any year of study, summer semester, electivespecialization NCPS , any year of study, summer semester, electivespecialization NSEC , any year of study, summer semester, electivespecialization NEMB , any year of study, summer semester, electivespecialization NEMB do 2023/24 , any year of study, summer semester, electivespecialization NHPC , any year of study, summer semester, electivespecialization NISD , any year of study, summer semester, electivespecialization NIDE , any year of study, summer semester, electivespecialization NISY , any year of study, summer semester, electivespecialization NISY do 2020/21 , any year of study, summer semester, electivespecialization NMAL , any year of study, summer semester, electivespecialization NMAT , any year of study, summer semester, electivespecialization NSEN , any year of study, summer semester, electivespecialization NVER , any year of study, summer semester, electivespecialization NSPE , any year of study, summer semester, elective
Lecture
Teacher / Lecturer
Syllabus
Exercise in computer lab
Project