HYBRID INTELLIGENT OPTIMIZATION RESEARCH AND APPLICATION FOR MINING SCHEDULING SYSTEM OF CEMENT MATERIAL QUARRIES

摘要

To improve economy benefit of quarryenterprises, it should take information industry development and numeric management road. Mining scheduling system is taken as amain craft system of quarry producing-schedulingsystem, its real timemodeling and real time optimization of mining schedulingsystemwill become an important task forquarry information management. This paper has constructed mining scheduling system model of ce-mentmaterial quarrieswith adaptive network-based fuzzy inference system(ANFIS), which has been solved by parallel genetic algorithms(PGA) subject to market demand, producing craft, quarry quality etc. Namely it can schedule drilling equipment and adjusting its mining parameter of each platform by hybrid intelligent optimization technology and global position system(GPS) technology based on ANFIS and PGA It is not only to set up a new ideal for real-timeoptimization problem of mining scheduling system, but also it provides theory innovation for optimizing drilling-blasting parameter, in the meantime, it provides importance reference value for quarry production scheduling sys-temfor going forinformation, intelligent, aggregate and system etc.