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Research on the Uncertainty Decision Model of the Regional Collaborative Innovation System Based on an Improved Ant Colony Algorithm

机译:基于改进蚁群算法的区域协同创新系统不确定性决策模型研究

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摘要

The regional collaborative innovation system is a nonlinear complex system, which has obvious uncertainty characteristics in the aspects ofmember selection and evolution. Ant colony algorithm, which can do the uncertainty collaborative optimization decision-making, is an effective tool to solve the uncertainty decision path selection problem. It can improve the cooperation efficiency of each subsystem and achieve the goal of effective cooperation. By analysing the collaborative evolution mechanisms of the regional innovation system, an evaluation index system for the regional collaborative innovation system is established considering the uncertainty of collaborative systems. The collaborative uncertainty decision model is constructed to determine the regional innovation system's collaborative innovation effectiveness. The improved ant colony algorithm with the pheromone evaporation model is applied to traversal optimization to identify the optimal solution of the regional collaborative innovation system. The collaboration capabilities of the ant colony include pheromone diffusion so that local updates are more flexible and the result is more rational. Finally, the method is applied to the regional collaborative innovation system.
机译:区域协同创新系统是一个非线性的复杂系统,在成员选择和演化方面具有明显的不确定性特征。可以进行不确定性协同优化决策的蚁群算法是解决不确定性决策路径选择问题的有效工具。可以提高各个子系统的协作效率,达到有效协作的目的。通过分析区域创新系统的协同演化机制,建立了区域协同创新系统不确定性的评价指标体系。构建了协作不确定性决策模型,以确定区域创新系统的协作创新有效性。将具有信息素蒸发模型的改进蚁群算法应用于遍历优化,确定区域协同创新系统的最优解。蚁群的协作能力包括信息素扩散,因此局部更新更灵活,结果更合理。最后,将该方法应用于区域协同创新系统。

著录项

  • 来源
    《Scientific programming》 |2016年第2期|2402037.1-2402037.10|共10页
  • 作者

    Zhang Xiaona; Wang Fayin;

  • 作者单位

    Harbin Normal Univ, Harbin 150025, Heilongjiang, Peoples R China;

    Harbin Engn Univ, Harbin 150001, Heilongjiang, Peoples R China;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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