基于遗传算法的孵化器知识配置模型研究  

Research on Incubator Knowledge Deployment Model Based on Genetic Algorithm

作　　者：杜运力[1] 陈智高[1] 

机构地区：[1]华东理工大学商学院,上海200237

出　　处：《科技进步与对策》2010年第7期140-144,共5页Science & Technology Progress and Policy

摘　　要：从知识的视角出发,着重探讨企业孵化器的知识配置问题。首先,通过对孵化器知识体系的构建及孵化过程的描述,揭示了企业孵化的实质是知识配置,然后对该问题进行了数学描述,在此基础上,提出了一个基于遗传算法的孵化器知识配置模型,并对其进行了算法设计。From the perspective of knowledge, this paper probes the issue of incubator knowledge deployment model. First, Basing on the description of incubator knowledge structure and incubating process, the essence of incubating enterprises is knowledge deployment, and then through mathematical description of this process, proposing a knowledge deployment model based on genetic algorithm, and designing the algorithm.

关 键 词：企业孵化器 知识配置 遗传算法 

分 类 号：F091.354[经济管理—政治经济学]