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.
Da REN Hai-yang QI
College of Management and Economics, University of Tianjin, Tianjin, China
国际会议
长春
英文
1689-1693
2011-09-03(万方平台首次上网日期,不代表论文的发表时间)