Most economic behavior can be viewed as special cases of game theory. Evolutionary game theory improves upon traditional game theory by providing a dynamics describing how the population will change over time. This dynamic framework provided by evolutionary game theory has become of increased interest to economists, and it has been widely used in economics as an analytical tool. This paper introduces a computing simulation of evolutionary game theory, describes the model and analyses of the simulating results. The analysis would be helpful for sound understanding about the essential features of evolutionary game theory and provides foundation for it's future applications in economics.