ABSTRACT

With the constant change of enterprise environment, the limitation of the traditional knowledge innovation management based on technology is increasingly apparent. This paper firstly analyses the mode, influence, and necessity of collaborative knowledge innovation management under the background of artificial intelligence. Secondly, the configuration strategy of collaborative knowledge innovation management is constructed. Then, greedy algorithm is used to allocate resources quickly, and these allocation schemes are locally optimal under the constructed optimal metric. Finally, the genetic algorithm is used to optimise the resource structure of the initial allocation combination globally to improve the optimisation degree of the structure as a whole. Through the optimal allocation of resources, enterprises can develop into highly efficient organisations with strong cohesion, continuous development, and self-management, and form collective creativity of enterprises, which can better adapt to the complex and rapidly changing management environment in the new era.

摘要

随着企业环境的不断变化，基于技术的传统知识创新管理的局限性越来越明显。本文首先分析了人工智能背景下协同知识创新管理的模式，影响和必要性。其次，构建了协同知识创新管理的配置策略。然后，使用贪心算法快速分配资源，并且在构造的最优度量下这些分配方案是局部最优的。最后，利用遗传算法全局优化初始分配组合的资源结构，提高了结构整体的优化程度。通过优化资源分配，