CORC  > 清华大学
The equivalence between ordinal optimization in deterministic complex problems and in stochastic simulation problems
Ho, Yu-Chi ; Jia, Qing-Shan ; Zhao, Qian-Chuan
2010-05-06 ; 2010-05-06
关键词ordinal optimization equivalence deterministic complex problems stochastic simulation problems EXPLANATION SYSTEMS Automation & Control Systems Operations Research & Management Science Mathematics, Applied
中文摘要In the last decade ordinal optimization (OO) has been successfully applied in many stochastic simulation-based optimization problems (SP) and deterministic complex problems (DCP). Although the application of OO in the SP has been justified theoretically, the application in the DCP lacks similar analysis. In this paper, we show the equivalence between OO in the DCP and in the SP, which justifies the application of OO in the DCP.
语种英语 ; 英语
出版者SPRINGER ; DORDRECHT ; VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/9092]  
专题清华大学
推荐引用方式
GB/T 7714
Ho, Yu-Chi,Jia, Qing-Shan,Zhao, Qian-Chuan. The equivalence between ordinal optimization in deterministic complex problems and in stochastic simulation problems[J],2010, 2010.
APA Ho, Yu-Chi,Jia, Qing-Shan,&Zhao, Qian-Chuan.(2010).The equivalence between ordinal optimization in deterministic complex problems and in stochastic simulation problems..
MLA Ho, Yu-Chi,et al."The equivalence between ordinal optimization in deterministic complex problems and in stochastic simulation problems".(2010).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace