Construction of Group Algorithm Model under Green Innovation Capability Technology

In the process of green innovation, there are problems of complex innovation data processing and inconsistent evaluation data, which in turn affects the ability of agree innovation. This algorithm simulates the optimization ability exhibited by bee colonies during behaviors such as dance and collective search. By employing an iterative search approach, the algorithm is able to identify the optimal solution for a given problem. The empirical results show that the bee colony algorithm can provide decision support and strategic guidance, and assist enterprises and organizations to achieve better results in the evaluation of green innovation capabilities. In order to promote the application of bee colony algorithm in evaluating green innovation capability and provide more support for sustainable development, research findings indicate that the green innovation capability assessment model can accurately analyze and enhance innovation capability. The model has an accuracy rate of over 95%, surpassing the evaluation method of neural network algorithm.