Application of distributed artificial bee colony algorithm in grid governance

This paper investigates the use of distributed artificial bee colony algorithm in grid governance to address the issue of resource allocation optimization. On this basis, a mathematical model is built to develop and implement the distributed artificial bee colony algorithm. Combined with simulation experiments and analysis through visualization, the algorithm's efficiency in enhancing the utilization of resources and response efficiency is tested. The test results indicate that the algorithm outperforms conventional methods in fitness value, running time and resource utilization and it has shown its potential in being used in grid governance. This paper offers a new technical approach and theoretical foundation to achieve intelligent and fine-grained social governance.