Optimization Method Based on Genetic Evolution for Multiple-stage Coordinate Mining of Multiple Mining Areas with Same Coal

被引:0
|
作者
Zeng, Qiang [1 ]
Zhang, Zebin [1 ]
Xiong, Zuqiang [1 ]
Xiong, Deguo [1 ]
机构
[1] Henan Polytech Univ, Sch Energy Sci & Engn, Jiaozuo 454000, Henan, Peoples R China
关键词
Optimization method; Coordinate Mining; Multiple-stage; Genetic Evolution; Genetic Algorithm;
D O I
10.4028/www.scientific.net/AMR.807-809.2460
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Aiming at the multiple-stage coordinate mining problem for multiple mining areas with same coal, an optimization method based on genetic evolution is proposed. Firstly, a mathematical optimization model with the objective to maximize the total sale of synthetic coal is established. Then, the model is simplified to another mathematical optimization model with the objective to maximize price of synthetic coal of each stage because of the great difficulty to resolve the model. Thirdly, a genetic algorithm for coordinate mining of multiple mining areas is presented and designed to resolve the simplified model. Finally, the effectiveness of the proposed method is validated by case study.
引用
收藏
页码:2460 / 2469
页数:10
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