Research and implementation of distributed MSP algorithm based on GA and MAS

The task of scheduling has high NP difficulty with arithmetic research as its important research direction. The technological research and application development of intelligent agents is a hot spot in the AI field. The paper analyzes the characteristics of how the in-time intelligence conducting system is scheduled and puts forward a new scheduling strategy and algorithm with the combination of genetic algorithm (GA) and a multi agent system (MAS). It is proved that the algorithm has good extensibility, adaptability and stability.