Article(id=1322560010958263196, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559951067792299, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1746892800000, receivedDateStr=2025-05-11, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793252478588, onlineDateStr=2026-10-29, pubDate=1777046400000, pubDateStr=2026-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793252478588, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793252478588, creator=13701087609, updateTime=1793252478588, updator=13701087609, issue=Issue{id=1322559951067792299, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='4', pageStart='1', pageEnd='294', issueExtLink='null', onlineDate='null', pubDate='1777046400000', pubDateStr='2026-04-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793252464310, creator='13701087609', updateTime=1793252763065, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322561204200001631, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559951067792299, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322561204200001632, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559951067792299, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=52, endPage=59, ext={EN=ArticleExt(id=1322560011105063837, articleId=1322560010958263196, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Optimization of Ore Extraction Strategy for Open-Pit Mines Based on DPRS-NSGA-Ⅲ, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

The production of open-pit mines is affected by geological fluctuations, and traditional methods are difficult to effectively coordinate multi-objective ore extraction strategies. Aiming at the uncertainty of ore grade and unit mining cost during the extraction process, a multi-objective uncertainty optimization model was constructed with the objectives of minimizing unit cost, maximizing total extraction amount, and minimizing the standard deviation of grade fluctuation. The Monte Carlo method was used to simulate the random variations of geological parameters. To improve the stability and diversity of the solution set, a dynamic reference point perturbation jumping mechanism and an adaptive scaling strategy for the objective space were designed and embedded into NSGA-Ⅲ, resulting in the DPRS-NSGA-Ⅲ algorithm. A case study was conducted on a large-scale molybdenum mine. The results show that the DPRS-NSGA-Ⅲ algorithm increases the total ore extraction amount by 2.03%, reduces the unit mining cost by 2.17%, and controls the grade deviation within 0.005 percentage points. The obtained Pareto solution set is uniformly distributed in the three-dimensional objective space, without abnormal clustering or collapse. The research results demonstrate good adaptability and practical application value in addressing uncertain factors in the ore extraction strategy of open-pit mines.

, authors=Yu ZHANG¹, Zhongqiang CHEN², Qi WANG², Yumeng SHEN², Ping'an PENG³, authorsList=Yu ZHANG, Zhongqiang CHEN, Qi WANG, Yumeng SHEN, Ping'an PENG, authorCompany=null, correspAuthors=Zhongqiang CHEN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322560011411248030, articleId=1322560010958263196, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=基于DPRS-NSGA-Ⅲ的露天矿出矿策略优化, columnId=1226462294490657775, journalTitle=矿业研究与开发, columnName=采矿与矿山充填, runingTitle=null, highlight=null, articleAbstract=

露天矿山生产受地质波动影响，传统方法难以有效协调多目标出矿策略。针对出矿过程中矿石品位和单位采掘成本不确定的问题，构建了以最小化单位成本、最大化出矿总量和最小化品位波动标准差为目标的多目标不确定性优化模型，并采用蒙特卡洛方法模拟地质参数的随机变化。为提升解集的稳定性和多样性，设计了动态参考点扰动跳跃机制和目标尺度自适应缩放策略，并将其嵌入NSGA-Ⅲ中，生成DPRS-NSGA-Ⅲ算法。以某大型钼矿为研究对象开展算例分析，结果表明：DPRS-NSGA-Ⅲ算法使总出矿量提高2.03%，单位采掘成本降低2.17%，品位偏差控制在0.005个百分点以内。所得帕累托解集在三维目标空间中分布均匀，未出现异常聚集或塌陷现象。研究结果在应对露天矿山出矿策略中的不确定性因素方面具有良好的适应性和实际应用价值。

, authors=张雨¹, 陈忠强², 王琦², 申雨梦², 彭平安³, authorsList=张雨, 陈忠强, 王琦, 申雨梦, 彭平安, authorCompany=null, correspAuthors=陈忠强, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=OjpYE9ahHtKGWZvLwS2nVg==, magXml=2SGpyowVoTrCj2YcQKiZbQ==, pdfUrl=null, pdf=eCYioZ/eeky4N42tRcyP9Q==, pdfFileSize=1610638, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=Bv4Gy5FtKyQSa78H+H7HPg==, mapNumber=null, fund=null)}, authors=[Author(id=1322560013424513961, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322560010958263196, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=1255841878@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322560013520982955, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322560010958263196, authorId=1322560013424513961, language=EN, stringName=Yu ZHANG, firstName=Yu, middleName=null, lastName=ZHANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.China Railway 19th Bureau Group Mining Investment Co., Ltd., Beijing 100161, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322560013596480428, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322560010958263196, authorId=1322560013424513961, language=CN, stringName=张雨, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．中铁十九局集团矿业投资有限公司，北京　100161, bio={"content":"

张雨（1996—），男，内蒙古松山人，工程师，主要从事露天开采技术研究工作。E-mail:1255841878@qq.com

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张雨（1996—），男，内蒙古松山人，工程师，主要从事露天开采技术研究工作。E-mail:1255841878@qq.com

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