Optimization Research for Cement Materials Mine Production Scheduling System Based on Multi-Agent Technology

摘要

According to the Multi-Agent technology modeling theory, combined with the actual situation of the cement materials open-pit mine, using adaptive neural-fuzzy inference system (Anfis) and classic modeling method respectively establishes the blasting system agent model, the transportation production system and the broken system agent model. Through the production task distribution coordinate the operation process of different Agents, Blasting system agent and transportation scheduling agent are optimized by genetic algorithm(GA) and particle swarm optimization algorithms(PSO), the costs are control at the same time the production tasks are completed, make whole mine production scheduling system to reach optimization.