Article(id=1242137672102256645, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242137663571047261, articleNumber=null, orderNo=5, doi=10.3981/j.issn.1000-7857.2019.13.003, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1548950400000, receivedDateStr=2019-02-01, revisedDate=1552752000000, revisedDateStr=2019-03-17, acceptedDate=null, acceptedDateStr=null, onlineDate=1567651059903, onlineDateStr=2019-09-05, pubDate=1562947200000, pubDateStr=2019-07-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1567651059903, onlineIssueDateStr=2019-09-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078298827, creator=sys-migrate, updateTime=1774078298827, updator=sys-migrate, issue=Issue{id=1242137663571047261, tenantId=1146029695717560320, journalId=1146031591421210625, year='2019', volume='37', issue='13', pageStart='1', pageEnd='128', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078296793, creator=sys-migrate, updateTime=1774078296793, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=23, endPage=31, ext={EN=ArticleExt(id=1242137679593288622, articleId=1242137672102256645, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=A joint operation resource scheduling model by way of genetic fuzzy network, columnId=1242137114733786042, journalTitle=Science & Technology Review, columnName=Exclusive: System of Systems Engineering, runingTitle=null, highlight=null, articleAbstract=Aimed at the resource scheduling in joint operation planning, a reactive scheduling framework based on resource flow is proposed. To tackle the time uncertainty in the scheduling process, a method of fuzzy number modeling is proposed. To deal with the resource uncertainty in the scheduling process, a resource competition method based on double priority is proposed, and the global optimal solution is searched by genetic algorithm. For the problem of mission uncertainty, a reactive robust strategy model is designed. The validity of the model is verified by experiments., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=mljL1t2HQ5a84RIz3+M1pA==, pdfFileSize=10260148, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. College of Joint Operation, National Defense University, Beijing 100091, China;
2. Institute of War Studies, Academy of Military Sciences, Beijing 100091, China, fund=null, authors=LIU Zhaopeng^1,2, SI Guangya¹, TANG Yubo¹, LIU Shaojun¹, authorsList=LIU Zhaopeng, SI Guangya, TANG Yubo, LIU Shaojun), CN=ArticleExt(id=1242137676648887201, articleId=1242137672102256645, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=联合作战资源调度模型研究, columnId=1242137113915891796, journalTitle=科技导报, columnName=专题：体系工程, runingTitle=null, highlight=null, articleAbstract=针对联合作战筹划过程中的不确定性资源调度问题，设计了基于资源流的反应式调度模型；针对调度过程中的时间不确定性，提出了模糊数建模方法；针对资源调度过程中的资源不确定性，提出了基于双重优先级的优势资源竞争方法，并通过遗传算法进行全局寻优，针对任务不确定性问题，设计了反应式鲁棒策略模型，并实验验证了模型的有效性。, correspAuthors=null, authorNote=刘兆鹏,助理研究员,研究方向为运筹分析与军事智能决策,电子信箱:scs_pengpeng@126.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=FPnyFZU35qOYU7bTH2NX8g==, pdfFileSize=10260148, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 国防大学联合作战学院, 北京 100091;
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