Abstract: In order to improve adaptability of HTVIC’s knowledge innovation, the coded formula and the Sharing Function of Niche from Genetic Algorithm are introduced to modify NK model, and then NK model of HTVIC’s knowledge innovation is constructed considering relationship strength and way of innovation, after that the simulation is conducted and two groups of better patterns are identified, and lastly the strategies to improve adaptability are supplied from the perspective of organizational learning. What has done will provide decision basis to advance the development of HTVIC.

摘要： 针对高技术虚拟产业集群（High-Tech Virtual Industrial Cluster, HTVIC）知识创新的适应性问题，引入遗传算法的编码公式和小生境共享函数对NK模型进行改进，构建考虑关系强度和创新方式的HTVIC知识创新的NK模型，并进行仿真分析，给出强-渐和弱-突两种最佳组合模式，最后从学习角度提出HTVIC知识创新适应性提升的策略，为推动HTVIC的发展提供决策依据。