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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Overview of Nature-Inspired Optimization Algorithms
 Jendrálová, Martina ; Zbořil, František (referee) ; Zbořil, František (advisor)
The aim of this work was to investigate and compare the efficiency of four nature-inspired optimization algorithms in finding function extremes on various test functions. The algorithms included the cat swarm optimization algorithm, social-emotional optimization algorithm, dolphin echolocation algorithm, and harmony search algorithm. The chosen test functions for extreme searching were Rosenbrock function, Griewank function, and Rastrigin function. The work includes descriptions of individual experiments and evaluates the success of these algorithms in finding function extremes.
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