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FIT-EVOAcad. year: 2023/2024
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
Evaluated practices, project. In the case of a reported barrier preventing the student to perform scheduled activity, the guarantor can allow the student to perform this activity on an alternative date.
Computer practices, project submission, final exam.
Aims
Study aids
Prerequisites and corequisites
Basic literature
Recommended literature
Elearning
Classification of course in study plans
branch MPV , 0 year of study, summer semester, compulsory-optionalbranch MBI , 0 year of study, summer semester, compulsory-optionalbranch MBS , 0 year of study, summer semester, electivebranch MIS , 0 year of study, summer semester, electivebranch MIN , 0 year of study, summer semester, electivebranch MGM , 0 year of study, summer semester, electivebranch MSK , 0 year of study, summer semester, electivebranch MMM , 0 year of study, summer semester, elective
specialization NISY , 0 year of study, summer semester, electivespecialization NSPE , 0 year of study, summer semester, electivespecialization NBIO , 0 year of study, summer semester, electivespecialization NSEN , 0 year of study, summer semester, electivespecialization NVIZ , 0 year of study, summer semester, electivespecialization NGRI , 0 year of study, summer semester, electivespecialization NADE , 0 year of study, summer semester, electivespecialization NISD , 0 year of study, summer semester, electivespecialization NMAT , 0 year of study, summer semester, electivespecialization NSEC , 0 year of study, summer semester, electivespecialization NISY up to 2020/21 , 0 year of study, summer semester, electivespecialization NCPS , 0 year of study, summer semester, electivespecialization NHPC , 0 year of study, summer semester, electivespecialization NNET , 0 year of study, summer semester, electivespecialization NMAL , 0 year of study, summer semester, electivespecialization NVER , 0 year of study, summer semester, electivespecialization NIDE , 0 year of study, summer semester, electivespecialization NEMB , 0 year of study, summer semester, electivespecialization NEMB up to 2021/22 , 0 year of study, summer semester, elective
Lecture
Teacher / Lecturer
Syllabus
Exercise in computer lab
Project
E-learning texts