Evolutionary computation (EC) is a set of global optimization algorithms based on natural evolution. EC is a subfield of AI techniques and soft computing. EC techniques, which are inspired by principle of evolution and Darwinian theory. In this paper we present the following algorithms as Genetic algorithms, artificial bee colony algorithm and Particle swarm optimization of Evolutionary computation technique. Genetic algorithm (GA) is the simplest and well known optimization techniques, which imitates the natural process. Particle swarm optimization (PSO) algorithm is a bio-inspired search algorithm which provides an alternative solution to non-linear optimization problem. Artificial bee colony (ABC) is also a metaheuristic global optimization technique which simulates the foraging nature of honey bees. This paper presents a competitive study among EC algorithms for solution of Non-linear unconstraint optimization problem and solved numerical example of unconstrained optimization problems using software MATLAB.