中文摘要：

为研究公司治理指数的预测精度，本文以公司治理指数（CGI）预测精度作为切入点，利用遗传算法与元胞自动机模型结合，建立起公司治理指数（CGI）演化动力模型。研究结果显示：通过自适应遗传算法应用与优化，该模型提高了投资者决策的智能化程度与自学习能力和公司治理指数（CGI）的预测精度。

英文摘要：

For the study of the prediction accuracy, the prediction accuracy of Corporate Governance Index （CGI） is introduced as a starting point in this paper. Genetic algorithms is introduced to the cellular automaton model to establish Corporate Governance Index （CGI） evolutionary dynamic mod- el. The results showed that this model can improve the investor decision-making level of intelligence and self-learning ability and the Corporate Governance Index （CGI） prediction accuracy by applica- tion of the adaptive genetic algorithm and its optimization.