Genetic algorithm-based systems modeling in traders' evolution mechanism

Technology of system simulation has become the important tool in studying various systems, particularly the complex systems. In this paper the method is applied to the construct an artificial stock market system and simulates the evolution of traders combined with genetic algorithm (GA). Then we can observe the macroscopic behavior of the artificial stock market from bottom to up and the impact to the stock market from traders' evolution mechanism of personal learning.