新兴产业创新网络并联模式多目标优化研究  

Research on Multi-objective Optimization of Innovation Network Parallel Mode of Emerging Industries

作　　者：陈旭升[1] 张明琦[1] 吴雪梅[2] 

机构地区：[1]哈尔滨理工大学管理学院,黑龙江哈尔滨150001 [2]哈尔滨工业大学机电学院,黑龙江哈尔滨150001

出　　处：《科技管理研究》2015年第5期11-16,共6页Science and Technology Management Research

基　　金：国家自然科学基金项目"全球价值链背景下我国装备制造业与生产性服务业融合机理及实现路径研究"(71373061);教育部人文社会科学研究青年基金项目"基于竞合理论的装备制造业产业创新模式研究"(10YJC790027);博士后研究人员落户黑龙江科研启动项目"知识协同下黑龙江省高端装备制造业创新网络成长机理;模式与政策支持"(LBH-Q14092)

摘　　要：新兴产业创新过程具有明显的网络特征,产业中拥有自主知识产权与管理诀窍的领先企业与以模仿创新为主的跟随企业交互发展,形成了新兴产业创新网络并联模式。构建新兴产业创新网络资源配置函数,将创新网络资源配置最优解扩展为精英种群,应用双层结构的粒子群算法提高种群的多样性、提高算法全局搜索能力。实证研究表明,提高领先企业的开拓能力、创新网络联系强度、跟随企业的规模化能力是优化创新网络的关键。The innovation process of emerging industries has obvious network characteristics. Leading enterprises in the in- dustry with independent intellectual property rights and management knack and following enterprises based on imitative in- novation grow by continual interplay, and then form the parallel mode of innovation network in emerging industries. We build the resource allocation function of innovation network in emerging industries. The resource allocation of innovation network is extended for the elite population. Application of particle swarm algorithm of double deck structure maintains the diversity of population, and makes sure the global searching ability of the algorithm, and also avoids resource allocation of innovation network resting on the local extremnm. Empirical studies show that improving the development ability of the lead- ing enterprise, strengthening the contact of the innovation network, and improving the scale capacity of the following enter- prise are the key factors to optimize the innovation network.

关 键 词：新兴产业 创新网络 并联模式 粒子群神经网络 

分 类 号：F276.44[经济管理—企业管理] F273.1[经济管理—国民经济]