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FIT-EVDAcad. year: 2020/2021
Evolutionary computation in the context of artificial intelligence and hard optimization problems. Single- and multi-objective optimization, dominance relation, Pareto front. Principles of genetic algorithms, evolutionary strategy, genetic programming and other evolutionary heuristics. Statistical evaluation, theoretical analysis of evolutionary algorithms. Advanced evolutionary algorithms based on probabilistic models. Parallel evolutionary algorithms. Multi-objective evolutionary algorithms. Rapid prototyping of evolutionary algorithms.Doctoral state exam - topics:
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branch DVI4 , 0 year of study, summer semester, elective
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Guided consultation in combined form of studies