| Ore Grouping Multi-Constraint Integration Benefit Greedy Optimization Method |
| Wang, Bin
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| 2020-07-01
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| 会议录名称 | Proceedings of 2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020
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| 页码 | 918-921
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| 会议名称 | 2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020
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| 会议日期 | July 28, 2020 - July 30, 2020
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| 会议地点 | Shenyang, China
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| 出版者 | Institute of Electrical and Electronics Engineers Inc.
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| 摘要 | Under the condition of satisfying the demand of smelter for ore quality, how to optimize the ore benefit in a certain period is a concerned problem. For a batch of ore, a multi constraint integrated greedy optimization algorithm (MICG)is proposed. According to the ore quality requirements, considering the content of each substance in the batch of ore, each ore is automatically allocated to a specific group, thus improving the sales profit of that batch of ore. Experiments show that the algorithm proposed in this paper has more advantages than artificial optimal grouping, and can guide effectively mining companies to mine ore. © 2020 IEEE. |
| 关键词 | Constrained optimization
Intelligent computing
Ores
Greedy optimization
Mining companies
Multi-constraints
Ore quality
Sales profit
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| DOI | 10.1109/ICPICS50287.2020.9202259
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| 收录类别 | EI
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| 语种 | 英语
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| EI入藏号 | 20204309378013
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| 原始文献类型 | Conference article (CA)
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| 文献类型 | 会议论文
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| 条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/3439
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| 专题 | 重庆电子科技职业大学
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| 作者单位 | Chongqing College of Electronic Engineering, Chongqing; 401331, China
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| 第一作者单位 | 重庆电子科技职业大学
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推荐引用方式
GB/T 7714 |
Wang, Bin. Ore Grouping Multi-Constraint Integration Benefit Greedy Optimization Method[C]:Institute of Electrical and Electronics Engineers Inc.,2020:918-921.
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文件名：
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Wang-2020-Ore Grouping Multi-Constraint Integr.pdf
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格式：
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Adobe PDF
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