Article(id=1242137266001359264, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242137261979021722, articleNumber=null, orderNo=4, doi=10.3981/j.issn.1000-7857.2018.24.002, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1541520000000, receivedDateStr=2018-11-07, revisedDate=1544630400000, revisedDateStr=2018-12-13, acceptedDate=null, acceptedDateStr=null, onlineDate=1547624366203, onlineDateStr=2019-01-16, pubDate=1545926400000, pubDateStr=2018-12-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1547624366203, onlineIssueDateStr=2019-01-16, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078202005, creator=sys-migrate, updateTime=1774078202005, updator=sys-migrate, issue=Issue{id=1242137261979021722, tenantId=1146029695717560320, journalId=1146031591421210625, year='2018', volume='36', issue='24', pageStart='1', pageEnd='100', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078201047, creator=sys-migrate, updateTime=1774078201047, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=13, endPage=25, ext={EN=ArticleExt(id=1242137270782861799, articleId=1242137266001359264, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=The evolution model of surface ship formation system based on hypernetwork, columnId=1242137266873770460, journalTitle=Science & Technology Review, columnName=Exclusive: System of Systems Engineering 2, runingTitle=null, highlight=null, articleAbstract=System dynamic evolution is a cognitive foundation of structure optimization and effectiveness evaluation for formation system of systems (SoS). In view of entity heterogeneity of the formation, coupling of the system, and emergence of combat SoS, the paper firstly summarizes the evolution characteristics of surface ship formation. The evolution features are summarized from four aspects:information drive, function emergence, structural time change and overall correlation. Secondly, the elements of formation SoS are abstractly analyzed. The battle of surface ship formation is divided into two stages, prewar growth and war confrontation, for architecture abstraction. Thirdly, a hypernetwork model of formation SoS is established, and the conceptual model and structure model of the hypernetwork are established from different perspectives. Lastly, task driven progressive evolution modeling and information driven radical evolution modeling based on hypernetwork are proposed. The evolution model is given calculation method of formation SoS. According to calculation example of formation combat, the evolution model can effectively describe the process of formation SoS combat dynamically and provide strong support for formation structure optimization and effectiveness evaluation., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=x8BHPphlyr7l6NUjjLLn+A==, pdfFileSize=5676050, 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. Graduate College of Academy of Military Sciences PLA China, Beijing 100091, China;
2. Joint Operations Experimental Center of Academy of Military Sciences PLA China, Beijing 100091, China;
3. No. 66410 Unit of PLA, Beijing 100042, China, fund=null, authors=GANG Jianxun^1,2, YE Xiongbing², ZHANG Ying³, authorsList=GANG Jianxun, YE Xiongbing, ZHANG Ying), CN=ArticleExt(id=1242137269507797413, articleId=1242137266001359264, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于超网络的水面舰艇编队体系演化模型, columnId=1242137265871331797, journalTitle=科技导报, columnName=专题：体系工程2, runingTitle=null, highlight=null, articleAbstract=动态演化是研究编队体系（SoS）结构优化和效能评估的认知根基。针对编队实体的异质性、系统的耦合性和体系的涌现性，从信息驱动性、功能涌现性、结构时变性、整体关联性4方面归纳水面舰艇编队的演化特征。分析了编队体系作战要素，将水面舰艇编队体系作战分成战前编队体系张成、战中编队体系对抗两阶段进行体系结构抽象。建立了编队体系的超网络模型，从不同的视角建立超网络概念模型和结构超网络模型。提出了基于超网络的任务驱动渐进演化模型和信息驱动激进演化模型，并给出演化模型的计算方法。通过编队体系作战的计算示例可知，演化模型能有效地动态描述编队体系对抗过程，可为编队结构优化和效能评估提供有力支撑。, correspAuthors=null, authorNote=刚建勋,博士研究生,研究方向为联合作战实验仿真,电子信箱:gangjianxun@163.com, correspAuthorsNote=叶雄兵(通信作者),研究员,研究方向为联合作战实验模拟、军事运筹与系统工程,电子信箱:yxb1123@sina.com, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=FGfn2sOzN6/AY5UprgsXcA==, pdfFileSize=5676050, 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. 中国人民解放军军事科学院研究生院, 北京 100091;
2. 中国人民解放军军事科学院联合作战实验中心, 北京 100091;
3. 中国人民解放军66410部队, 北京 100042, fund=null, authors=刚建勋^1,2, 叶雄兵², 张颖³, authorsList=刚建勋, 叶雄兵, 张颖)}, authors=null, keywords=[Keyword(id=1242137269168058786, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242137266001359264, language=CN, orderNo=1, keyword=水面舰艇编队), Keyword(id=1242137269256139171, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242137266001359264, language=CN, orderNo=1, keyword=超网络), Keyword(id=1242137269344219556, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242137266001359264, language=CN, orderNo=1, keyword=演化模型), Keyword(id=1242137270443123172, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242137266001359264, language=EN, orderNo=1, keyword=surface ship formation), Keyword(id=1242137270527009253, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242137266001359264, language=EN, orderNo=1, keyword=hypernetwork), Keyword(id=1242137270640255462, 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