针对商业公司的竞争建立人工生命的模型,通过遗传算法,有效地洞察到公司政策制定的关键营销因素。将软计算应用在商业竞争中,即在可控的人工环境中,创造出被观察的个体行为。同时,开发了软件ALGAE,用于模拟个体公司竞争演化中优选基因的特征。实验结果表明,ALGAE可以挖掘出事先未知的一些突发基因和行为特征。经过ALGAE分析,市场优势的预测可以从基因数据中获得,表明该模型的有效性。 Establishing a model of artificial life for the competition of commercial companies, through the genetic algorithm, effectively perceives the key marketing factors of company policy making. The application of soft computing in business competition, that is, in a controlled artificial environment, to create the observed individual behavior. At the same time, the software ALGAE was developed to simulate the characteristics of preferred genes in the evolution of competition among individual companies. The experimental results show that ALGAE can discover some unexpected gene and behavioral traits. After ALGAE analysis, the prediction of market advantage can be obtained from the genetic data, indicating the validity of the model.