Evolutionary algorithms are an effective approach for solving complex optimization problems invarious fields. This paper presents a survey about genetic, differential evolution, evolution strategies, andestimation of distribution algorithms. Pseudo-code and the basic flow chart of each algorithm are listed. Also,the improvement and hybridization of these algorithms are shown. The famous applications that are solved bythese techniques are listed. The advantages and limitations of algorithms are presented.