Simple evolutionary heuristics for global optimization
Josef Tvrdík, Ivan Křivý · Computational Statistics & Data Analysis · 1999
The paper deals with the empirical comparison of five evolutionary algorithms. One of them is closely related to the controlled random search, another two are based on evolutionary search and remaining two on differential evolution. The testbed consists of six functions widely used for testing of optimization algorithms. The average number of objective function evaluations and its variability are used as basic criteria for the comparison.