Thesis Details
Optimalizační algoritmy inspirované přírodou
This thesis deals with four optimization algorithms inspired by nature. It describes ant colony optimization algorithm, marriage in honeybees optimization algorithm, grey wolf optimization algorithm and simulated annealing algorithm. The main part of this thesis is the application of these algorithms for solving three optimization problems. One of the problems is travelling salesman problem, which is solved by ant colony optimization, next problem is searching for extreme of function solved by grey wolf optimization and simulated annealing algorithms and the last is boolean satisfiability problem solved by marriage in honeybees optimization algorithm. Thesis contains experiments with these algorithms and reviews gained results.
optimization algorithms, ant colony optimization algorithm, marriage in honeybees algorithm, grey wolf optimization algorithm, simulated annealing algorithm, travelling salesman problem, boolean satisfiability problem, searching for extreme of a function
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
@bachelorsthesis{FITBT7528, author = "Lenka Babjar\v{c}ikov\'{a}", type = "Bachelor's thesis", title = "Optimaliza\v{c}n\'{i} algoritmy inspirovan\'{e} p\v{r}\'{i}rodou", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/7528/" }