南华大学学报（自然科学版）Issue(4)：39-42,4.
基于PGA-ANFIS的露天矿山生产成本优化控制研究
Optimization Control Research for Production Cost of Open Pit Mine Based on Parallel Genetic Algorithms and Adaptive Network-based Fuzzy Inference System
摘要
Abstract
According to the influencing factors of open-pit mine production process and production cost,the mine production cost model is set up with adaptive fuzzy inference sys-tem,then,the parameters of the model are optimized by parallel genetic algorithm,which realize the minimization of production cost of open-pit mine. With the cement raw material mine as an example,it successfully realized the optimization of production cost and techni-cal economic parameters of open-pit mine,which not only effectively reduced the produc-tion cost of mine,but also provided important reference for production cost control of manu-facturing enterprises.关键词
露天矿山/生产成本/自适应模糊推理系统/并行遗传算法Key words
open pit mine/production cost/adaptive network-based fuzzy inference system/parallel genetic algorithms分类
管理科学引用本文复制引用
游友珍,戴剑勇..基于PGA-ANFIS的露天矿山生产成本优化控制研究[J].南华大学学报（自然科学版）,2013,(4):39-42,4.基金项目
湖南省自然科学基金资助项目(10JJ2041) （10JJ2041）
国家自然科学基金项目资助项目(51174116) （51174116）
