Application of Improved Genetic Algorithm in Mine Ore Blending

摘要：

Based on the analysis of ore blending model, this paper improves the traditional linear programming model and sets up a nonlinear ore blending model by changing the objective function and constraints. It also adopts the improved genetic algorithm to solve the ore blending mode, and gives detailed designs of the advanced genetic algorithm as well. This algorithm can overcome the shortcomings of traditional algorithms, such as high sensitivity to the initial point, lower solution precision and local optimization etc. Finally, this paper gives an example, which the revised nonlinear ore blending model is applied into a mine, and gets optimization ore blending results through building the ore blending model and solving the model.

关键词： Schedule ore blending model nonlinear programming advanced genetic algorithm

作者: Xu Tiejun Yang Peng Li Wei

作者单位: Key Lab of High Efficient Mining of Metal Deposit, Ministry of Education China, Beijing 100083, China

会议类型: 国际会议

会议名称: The 3rd International Symposium on Modern Mining & Safety Technology Proceedings(第三届现代采矿与安全技术国际学术会议)

会议地点: 辽宁阜新

会议语种:英文

页码: 174-177

在线出版日期: 2008-08-04（万方平台首次上网日期，不代表论文的发表时间）