基于PGA-ANFIS的露天矿山生产成本优化控制研究

根据露天矿山生产工艺流程及生产成本影响因素，运用自适应模糊推理系统建立矿山生产成本系统模型，应用并行遗传算法优化模型参数，实现露天矿山生产成本最小化．并以水泥原料矿山为例，成功实现了露天矿山生产成本与技术经济参数的优化问题，这不仅有效地降低了矿山生产成本，而且为制造企业生产成本控制提供了重要参考价值．

Optimization Control Research for Production Cost of Open Pit Mine Based on Parallel Genetic Algorithms and Adaptive Network-based Fuzzy Inference System

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 system,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 technical economic parameters of open-pit mine,which not only effectively reduced the production cost of mine,but also provided important reference for production cost control of manufacturing enterprises.