Coal blending optimization of coal preparation production process based on improved GA
Coal blending optimization of coal preparation production process is one of the most important segments in the schedule of coal preparation production, and the last link of product quality control in coal preparation plant. It can increase the diversity of prepared coal, quality stability and flexibility of production. In the work, a model of coal blending schedule was given with the objective of economic benefits. Relations of optimization parameters were obtained by process analysis, and their model are non-linear. Using adaptive simulated annealing genetic algorithm (ASAGA), coal blending parameters were optimized. Simulation shows that GSAA can obtain better optimization effects and the optimal parameters have instructive significance on production schedule.
ASAGA coal preparation production process coal blending optimization
Guo Xi-jin Chen Ming Wu Jia-wei
School of Information and Electrical Engineering, China University of Mining & Technology, Xuzhou 221116, China
国际会议
The 6th International Conference on Mining Science & Technology ICMST 2009(第六届国际矿业科学技术大会)
徐州
英文
1-7
2009-10-18(万方平台首次上网日期,不代表论文的发表时间)