Research on Intelligent Algorithmic Optimization for Organizational Decision Making in Industrial Automation

In this paper, based on the research of multi-agent and ODSS, a multi-agent based organizational decision support system is designed. The system includes organization Agent, processing Agent group, communication Agent, etc. The model of sustainable innovation opportunity discovery and identification is constructed by grey relational analysis method. An evaluation model of sustainable innovation opportunities is constructed by using attribute measurement method. In this scheme, the expression form of similar extensible markup language is combined with Petri net description method to formalize the behavior characteristics of data recording process, and the hierarchical language support for the description method is realized. Finally, an exploratory study is made on the reinforcement learning algorithm used in the coordinated decision-making process of the system.