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How to win innovation races in high-tech industries? An evolutionary optimisation model

机译:如何赢得高科技产业的创新竞赛?进化优化模型

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In this paper, we will present the firm's knowledge base function and introduce an optimisation problem where the firm seeks to maximise its profits with scarce knowledge assets. In this, it has to share its knowledge assets between activities that help to increase the firm's knowledge base and activities that are needed to protect and exploit the knowledge. In addition to these choices, the firm meets a question of whether and how to use partnerships when trying to maximise profits based on the knowledge assets that can be more or less protected. We will present the evolutionarily inspired optimisation problems as perspectives of one company, two companies and three companies and introduce the differential evolution algorithm as a solution to the optimisation problems. Our simulation results show that by proper optimisation of resource allocations, a company can achieve a sustainable advantage compared with other companies.
机译:在本文中,我们将介绍公司的知识库功能,并介绍一个优化问题,即公司寻求利用稀缺的知识资产来最大化其利润。为此,它必须在有助于增加公司知识库的活动与保护和利用知识所需的活动之间共享知识资产。除了这些选择之外,在基于或多或少受保护的知识资产尝试最大化利润时,公司还会遇到是否以及如何使用合伙制的问题。我们将从一个公司,两个公司和三个公司的角度介绍受进化启发的优化问题,并介绍差分进化算法作为优化问题的解决方案。我们的仿真结果表明,与其他公司相比,通过适当优化资源分配,一家公司可以获得可持续的优势。

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