There are many probing solutions in the literature. Optimization methods performances are compared and the best one is chosen and the problem is executed on it. In this study, Benchmark functions consisting of simple mathematical functions are used and it is aimed to use same media, same method, same starting population and same problem to get the most accurate result. Optimization algorithms Genetic Algorithm (GA), Differential Evolution Algorithm (DGA), Ant Colony (ACR), Artificial Atom Algorithm (A(3)) and Clonal Selection Algorithm (CLONALG) was used. Performance measures of these optimization algorithms are calculated on three different benchmarking algorithms.