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首页> 外文期刊>Mining & Minerals >Researchers from Indian Institute for Technology Describe Findings in Mining and Metallurgy (A Genetic Algorithm-based Approach for Optimizing Short-term Production Schedules of Multi-mine Mineral Value Chains)
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Researchers from Indian Institute for Technology Describe Findings in Mining and Metallurgy (A Genetic Algorithm-based Approach for Optimizing Short-term Production Schedules of Multi-mine Mineral Value Chains)

机译:研究人员从印度技术研究所在采矿和冶金(描述的发现遗传算法为优化方法Multi-mine的短期生产计划矿物价值链)

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2022 JUL 1 (VerticalNews) – By a News Reporter-Staff News Editor at Mining & Minerals – Investigators discuss new findings in Mining and Metallurgy. According to news reporting from West Bengal, India, by VerticalNews journalists, research stated, “This article presents a customized genetic algorithms (GA) with new crossover and mutation operators to solve the short-term production scheduling problem of multi-mine mineral value chains (MVC). The preceding problem consists of determining the extraction sequence and destination allocation of blocks from all the mines collaboratively while closely meeting the quality and quantity requirements of the processing units subject to relevant technical and operational constraints.”
机译:2022年7月1 (VerticalNews)——由一个消息记者在采矿和矿物-新闻编辑调查人员在采矿和讨论新发现冶金学。由VerticalNews记者、孟加拉、印度、本文提出了一种研究陈述。定制的遗传算法(GA)与新交叉和变异算子来解决短期的生产调度问题multi-mine矿产价值链(MVC)。前面的问题包括确定提取序列和目标分配块的矿山合作密切关注会议的质量和数量处理单元的要求相关技术和操作约束。”

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