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本文提出了一个基于遗传算法的决策对象选取模型，在该模型中，基于遗传算法的学习机制被用于提高决策对象特征描述及其权重向量的准确性，同时也使模型有了自适应的能力。该模型在杭州三联电子公司CIMS应用示范工程系统中得到成功应用。
In this paper, we propose a decision model based on genetic algorithm, in which the learning mechanism based on genetic algorithm is used to improve the accuracy of the decision-making object feature description and its weight vector, and also to make the model adaptive . The model has been successfully applied in CIMS application demonstration project of Hangzhou Sanlian Electronics Company.