This article studies the integration and optimization of green innovation capabilities of enterprises. The integration model of enterprise green innovation capability provides the theoretical basis for cultivating enterprise green innovation capability. However, from the perspective of optimization, in the life cycle of the enterprise, how the enterprise should reasonably allocate resources and carry out strategic guidance to achieve the optimal green innovation capability of the enterprise is a question worth thinking about. This stage of research starts from different cycle stages of enterprise development, explores the adaptability and evolution of the integration model, and studies the optimization methods of strategies to achieve the goal of matching. This article adopts the ant colony optimization algorithm to support the research on the integration of green innovation capabilities of enterprises. The article describes the principle of the ant colony optimization algorithm in detail by using the combination of text description and formula. In addition, it analyzes the effect of the research through experiments. The results show that the corresponding CITC coefficients of each item of the Green Innovation Scale are between 0.518 and 0.850, which are all greater than the ideal value of 0.4.

Small and medium-sized technology-based SMEs also play a certain role in promoting the economic development and social progress of a country and can provide relative social resources. However, under the wave of green development, green technology innovation for SMEs is also important, which is of great significance to the sustainable development of enterprises. This paper summarizes the situation of a certain stage of Chinese enterprises’ green technology innovation and builds a GIP evaluation index system suitable for small and medium-sized technology-based enterprises. This paper selects Z province for analysis and uses data envelopment analysis and Malmquist index analysis to analyze the GI situation of 11 cities in Z province. And this paper proposes a green innovation performance (GIP) evaluation path for technology-based SMEs. The results show that the overall green innovation (GI) level of Z province shows an upward and progressive trend from 2016 to 2020, and the total factor productivity change index (TPF) in the overall period from 2018 to 2020 is 0.913. The overall GIP of enterprises in cities C and D in Z province is insufficient and needs to be further expanded.