Research and implementation of distributed MSP algorithm based on GA and MAS
Weijin Jiang, Yuhui Xu, Yao Li · 2003
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.