Noncooperative Game Strategy in Cyber-Financial Systems With Wiener and Poisson Random Fluctuations: LMIs-Constrained MOEA Approach

The financial market is a nonlinear stochastic system with continuous Wiener and discontinuous Poisson random fluctuations. Most managers or investors hope their investment policies to be with the not only high profit but also low risk. Managers and investors involved pursue their own interests whic...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on cybernetics Ročník 48; číslo 12; s. 3323 - 3336
Hlavní autoři:	Chen, Bor-Sen, Chen, Wei-Yu, Yang , Chun-Tao, Yan, Zhiguo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.12.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Cyber-financial system Decision making Decision theory Design engineering Economic models Evolutionary algorithms Evolutionary computation Game theory Investment strategy Linear matrix inequalities Linear systems Linearization Markets Mathematical analysis Matrix methods multiobjective evolutionary algorithm (MOEA) multiobjective optimization problem (MOP) multiperson noncooperative decision making Multiple objective analysis Nash equilibrium Nash equilibrium solution Nonlinear systems stochastic noncooperative game strategy Stochastic processes Stochastic systems System effectiveness Variation
ISSN:	2168-2267, 2168-2275, 2168-2275
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	The financial market is a nonlinear stochastic system with continuous Wiener and discontinuous Poisson random fluctuations. Most managers or investors hope their investment policies to be with the not only high profit but also low risk. Managers and investors involved pursue their own interests which are partly conflicting with others. Stochastic game theory has been widely applied to multiperson noncooperative decision making problem of financial market. However, for the nonlinear stochastic financial system with random fluctuations, it still lacks an analytical or computational scheme to effectively solve the complex noncooperative game strategy design problem. In this paper, the stochastic multiperson noncooperative game strategy in cyber-financial systems is transformed to a multituple Hamilton-Jacobi-Isacc inequalities (HJIIs)-constrained multiobjective optimization problem (MOP). This HJIIs-constrained MOP solution is also found to be the Nash equilibrium solution of multiperson noncooperative game strategy in nonlinear stochastic financial systems. In order to simplify design procedure by the global linearization theory, a set of local linear systems are interpolated to approximate the nonlinear stochastic financial system so that the m-tuple HJIIs-constrained MOP for noncooperative game strategy of cyber-financial system could be converted to a linear matrix inequalities (LMIs)-constrained MOP. Finally, an LMIs-constrained multiobjective evolution algorithm is explored for effectively solving the multiperson noncooperative game strategy in cyber-financial systems. Two design examples are also given for the illustration of the design procedure and the performance validation of the proposed stochastic noncooperative investment strategy in the nonlinear stochastic financial systems.
AbstractList	The financial market is a nonlinear stochastic system with continuous Wiener and discontinuous Poisson random fluctuations. Most managers or investors hope their investment policies to be with the not only high profit but also low risk. Managers and investors involved pursue their own interests which are partly conflicting with others. Stochastic game theory has been widely applied to multiperson noncooperative decision making problem of financial market. However, for the nonlinear stochastic financial system with random fluctuations, it still lacks an analytical or computational scheme to effectively solve the complex noncooperative game strategy design problem. In this paper, the stochastic multiperson noncooperative game strategy in cyber-financial systems is transformed to a multituple Hamilton-Jacobi-Isacc inequalities (HJIIs)-constrained multiobjective optimization problem (MOP). This HJIIs-constrained MOP solution is also found to be the Nash equilibrium solution of multiperson noncooperative game strategy in nonlinear stochastic financial systems. In order to simplify design procedure by the global linearization theory, a set of local linear systems are interpolated to approximate the nonlinear stochastic financial system so that the m-tuple HJIIs-constrained MOP for noncooperative game strategy of cyber-financial system could be converted to a linear matrix inequalities (LMIs)-constrained MOP. Finally, an LMIs-constrained multiobjective evolution algorithm is explored for effectively solving the multiperson noncooperative game strategy in cyber-financial systems. Two design examples are also given for the illustration of the design procedure and the performance validation of the proposed stochastic noncooperative investment strategy in the nonlinear stochastic financial systems. The financial market is a nonlinear stochastic system with continuous Wiener and discontinuous Poisson random fluctuations. Most managers or investors hope their investment policies to be with the not only high profit but also low risk. Managers and investors involved pursue their own interests which are partly conflicting with others. Stochastic game theory has been widely applied to multiperson noncooperative decision making problem of financial market. However, for the nonlinear stochastic financial system with random fluctuations, it still lacks an analytical or computational scheme to effectively solve the complex noncooperative game strategy design problem. In this paper, the stochastic multiperson noncooperative game strategy in cyber-financial systems is transformed to a multituple Hamilton-Jacobi-Isacc inequalities (HJIIs)-constrained multiobjective optimization problem (MOP). This HJIIs-constrained MOP solution is also found to be the Nash equilibrium solution of multiperson noncooperative game strategy in nonlinear stochastic financial systems. In order to simplify design procedure by the global linearization theory, a set of local linear systems are interpolated to approximate the nonlinear stochastic financial system so that the m-tuple HJIIs-constrained MOP for noncooperative game strategy of cyber-financial system could be converted to a linear matrix inequalities (LMIs)-constrained MOP. Finally, an LMIs-constrained multiobjective evolution algorithm is explored for effectively solving the multiperson noncooperative game strategy in cyber-financial systems. Two design examples are also given for the illustration of the design procedure and the performance validation of the proposed stochastic noncooperative investment strategy in the nonlinear stochastic financial systems.The financial market is a nonlinear stochastic system with continuous Wiener and discontinuous Poisson random fluctuations. Most managers or investors hope their investment policies to be with the not only high profit but also low risk. Managers and investors involved pursue their own interests which are partly conflicting with others. Stochastic game theory has been widely applied to multiperson noncooperative decision making problem of financial market. However, for the nonlinear stochastic financial system with random fluctuations, it still lacks an analytical or computational scheme to effectively solve the complex noncooperative game strategy design problem. In this paper, the stochastic multiperson noncooperative game strategy in cyber-financial systems is transformed to a multituple Hamilton-Jacobi-Isacc inequalities (HJIIs)-constrained multiobjective optimization problem (MOP). This HJIIs-constrained MOP solution is also found to be the Nash equilibrium solution of multiperson noncooperative game strategy in nonlinear stochastic financial systems. In order to simplify design procedure by the global linearization theory, a set of local linear systems are interpolated to approximate the nonlinear stochastic financial system so that the m-tuple HJIIs-constrained MOP for noncooperative game strategy of cyber-financial system could be converted to a linear matrix inequalities (LMIs)-constrained MOP. Finally, an LMIs-constrained multiobjective evolution algorithm is explored for effectively solving the multiperson noncooperative game strategy in cyber-financial systems. Two design examples are also given for the illustration of the design procedure and the performance validation of the proposed stochastic noncooperative investment strategy in the nonlinear stochastic financial systems.
Author	Yang , Chun-Tao Chen, Wei-Yu Chen, Bor-Sen Yan, Zhiguo
Author_xml	– sequence: 1 givenname: Bor-Sen orcidid: 0000-0003-1644-6106 surname: Chen fullname: Chen, Bor-Sen email: bschen@ee.nthu.edu.tw organization: Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan – sequence: 2 givenname: Wei-Yu orcidid: 0000-0003-2958-8437 surname: Chen fullname: Chen, Wei-Yu email: wei8465@iis.sinica.edu.tw organization: Academia Sinica, Institute of Information Science, Taipei, Taiwan – sequence: 3 givenname: Chun-Tao orcidid: 0000-0003-0105-1195 surname: Yang fullname: Yang , Chun-Tao organization: Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan – sequence: 4 givenname: Zhiguo surname: Yan fullname: Yan, Zhiguo email: yanzg500@sina.com organization: School of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/30334811$$D View this record in MEDLINE/PubMed
BookMark	eNp9UU1P3DAUtCpQoZQfUFWqLPXSSxZ_xInT2zZiKdJSqkJV9WQ5znMxSuwlTpD2zB-vl104cMAHv_esmbE98w7t-eABoQ-UzCgl1cl1_ffbjBEqZ0wWVapv0CGjhcwYK8Xec1-UB-g4xluSlkxHlXyLDjjhPJeUHqKHH8GbEFYw6NHdAz7TPeCrMU3wb42dx_W6gSFbOK-9cbrDV-s4Qh_xHzfepA08DFj7Fv8MLsbg8a80hB4vusmMU9IMPn7Fy4vzmNWpTcLOQ4svLk_neL5aDUGbm_do3-ouwvGuHqHfi9Pr-nu2vDw7r-fLzPC8GtNfTNFWwlKjtbaWNAVlVsgy503TENEKnhsQQgoLVPDCAtOsMgxM3jINNudH6MtWN117N0EcVe-iga7THsIUFaOMibJMFiXo5xfQ2zANPr0uobhgZSmKKqE-7VBT00OrVoPr9bBWT_YmQLkFmCHEOIBVxo2PpmyM6BQlapOl2mSpNlmqXZaJSV8wn8Rf43zcchwAPONlXuWSEf4fGzep-A
CODEN	ITCEB8
CitedBy_id	crossref_primary_10_1109_TCYB_2021_3056176 crossref_primary_10_1109_TCYB_2020_3018318 crossref_primary_10_1109_TCYB_2021_3109066 crossref_primary_10_1007_s11424_024_3091_6 crossref_primary_10_1002_rnc_70137 crossref_primary_10_1109_ACCESS_2021_3078122 crossref_primary_10_1109_TFUZZ_2019_2939956 crossref_primary_10_1155_2018_1628472 crossref_primary_10_1109_TAC_2023_3244483 crossref_primary_10_1109_ACCESS_2022_3176088 crossref_primary_10_1016_j_sysconle_2022_105285 crossref_primary_10_1080_00207179_2021_1996633 crossref_primary_10_2478_amns_2023_2_00334 crossref_primary_10_1109_TCYB_2021_3134688 crossref_primary_10_1016_j_jfranklin_2025_108032 crossref_primary_10_1109_TCYB_2021_3070352 crossref_primary_10_1109_TCYB_2018_2879213 crossref_primary_10_1007_s40815_021_01149_z crossref_primary_10_1109_JAS_2023_123129 crossref_primary_10_1109_ACCESS_2021_3091725 crossref_primary_10_1007_s44196_025_00830_7 crossref_primary_10_3390_axioms13010003
Cites_doi	10.1049/iet-cta.2017.0105 10.1109/TNNLS.2015.2490072 10.1007/978-3-642-31214-4 10.1111/j.1467-985X.2010.00681_9.x 10.1109/91.995123 10.1137/1.9781611970777 10.1109/TFUZZ.2016.2598358 10.1093/rfs/4.4.727 10.1201/9781315117706 10.1109/TFUZZ.2016.2574928 10.1109/TFUZZ.2014.2374193 10.1257/aer.104.10.3115 10.1109/4235.996017 10.1109/TFUZZ.2016.2574926 10.1016/j.jbankfin.2014.05.013 10.1126/science.1173644 10.1111/j.1540-6261.2005.00821.x 10.1109/TFUZZ.2014.2346244 10.1162/003465303322369803 10.1049/iet-cta.2016.1475 10.1023/A:1016313804297 10.1016/j.biosystems.2017.08.001 10.1016/j.neucom.2016.04.011 10.1016/j.jinteco.2012.05.003 10.4137/EBO.S13227 10.1109/91.928735 10.1109/TFUZZ.2014.2327994 10.1109/TCSI.2008.2007059 10.1109/TAC.2003.821400 10.1109/TEVC.2009.2017515 10.1007/1-84628-137-7 10.1109/TAC.2012.2215399 10.1109/TCST.2009.2031633 10.1109/TAC.2011.2173412 10.1080/14697688.2011.627880
ContentType	Journal Article
Copyright	Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018
Copyright_xml	– notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018
DBID	97E RIA RIE AAYXX CITATION NPM 7SC 7SP 7TB 8FD F28 FR3 H8D JQ2 L7M L~C L~D 7X8
DOI	10.1109/TCYB.2018.2869018
DatabaseName	IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef PubMed Computer and Information Systems Abstracts Electronics & Communications Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional MEDLINE - Academic
DatabaseTitle	CrossRef PubMed Aerospace Database Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Engineering Research Database Advanced Technologies Database with Aerospace ANTE: Abstracts in New Technology & Engineering Computer and Information Systems Abstracts Professional MEDLINE - Academic
DatabaseTitleList	Aerospace Database PubMed MEDLINE - Academic
Database_xml	– sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Sciences (General)
EISSN	2168-2275
EndPage	3336
ExternalDocumentID	30334811 10_1109_TCYB_2018_2869018 8494820
Genre	orig-research Journal Article
GrantInformation_xml	– fundername: Ministry of Science and Technology, Taiwan grantid: MOST 109-2221-E-007-010-MY2 funderid: 10.13039/501100004663
GroupedDBID	0R~ 4.4 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACIWK AENEX AGQYO AGSQL AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ EBS EJD HZ~ IFIPE IPLJI JAVBF M43 O9- OCL PQQKQ RIA RIE RNS AAYXX CITATION NPM RIG 7SC 7SP 7TB 8FD F28 FR3 H8D JQ2 L7M L~C L~D 7X8
ID	FETCH-LOGICAL-c349t-22c6d95f1caaaff0b612f58743bbb05d534ce5585fe1536fe2a29c2ec4d2aef43
IEDL.DBID	RIE
ISICitedReferencesCount	23
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000450613100006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	2168-2267 2168-2275
IngestDate	Sun Nov 09 14:25:50 EST 2025 Mon Jun 30 06:00:27 EDT 2025 Wed Feb 19 02:42:51 EST 2025 Sat Nov 29 02:02:26 EST 2025 Tue Nov 18 21:35:26 EST 2025 Wed Aug 27 02:28:31 EDT 2025
IsPeerReviewed	true
IsScholarly	true
Issue	12
Language	English
License	https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c349t-22c6d95f1caaaff0b612f58743bbb05d534ce5585fe1536fe2a29c2ec4d2aef43
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ORCID	0000-0003-2958-8437 0000-0003-1644-6106 0000-0003-0105-1195
PMID	30334811
PQID	2135277569
PQPubID	85422
PageCount	14
ParticipantIDs	proquest_journals_2135277569 ieee_primary_8494820 proquest_miscellaneous_2122577898 pubmed_primary_30334811 crossref_citationtrail_10_1109_TCYB_2018_2869018 crossref_primary_10_1109_TCYB_2018_2869018
PublicationCentury	2000
PublicationDate	2018-12-01
PublicationDateYYYYMMDD	2018-12-01
PublicationDate_xml	– month: 12 year: 2018 text: 2018-12-01 day: 01
PublicationDecade	2010
PublicationPlace	United States
PublicationPlace_xml	– name: United States – name: Piscataway
PublicationTitle	IEEE transactions on cybernetics
PublicationTitleAbbrev	TCYB
PublicationTitleAlternate	IEEE Trans Cybern
PublicationYear	2018
Publisher	IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml	– name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References	ref35 ref13 ref34 ref37 cont (ref12) 2004 ref15 ref14 ref31 del (ref38) 2001 ref30 ref33 ref32 ref10 ref2 tanaka (ref43) 2001 ref1 ref17 ref16 ref18 liang (ref29) 0 basar (ref20) 1982 zhang (ref22) 2017 haupt (ref44) 2004 ref24 ref23 ref26 ref25 ref42 ref41 khasminskii (ref19) 2011 ref21 hanson (ref11) 2007 ref28 ref27 ref8 ref7 ref9 ref4 ref3 ref6 liu (ref36) 2002 ref5 ref40 del (ref39) 2002; 6
References_xml	– ident: ref27 doi: 10.1049/iet-cta.2017.0105 – ident: ref31 doi: 10.1109/TNNLS.2015.2490072 – ident: ref15 doi: 10.1007/978-3-642-31214-4 – ident: ref17 doi: 10.1111/j.1467-985X.2010.00681_9.x – year: 2011 ident: ref19 publication-title: Stochastic Stability of Differential Equations – year: 2002 ident: ref36 publication-title: Multiobjective Optimization and Control – year: 1982 ident: ref20 publication-title: Dynamic Noncooperative Game Theory – ident: ref21 doi: 10.1109/91.995123 – ident: ref35 doi: 10.1137/1.9781611970777 – ident: ref42 doi: 10.1109/TFUZZ.2016.2598358 – ident: ref16 doi: 10.1093/rfs/4.4.727 – year: 2017 ident: ref22 publication-title: Stochastic $H_ 2 / H_ \infty $ Control A Nash Game Approach doi: 10.1201/9781315117706 – year: 2004 ident: ref12 publication-title: Financial Modelling with Jump Processes – ident: ref41 doi: 10.1109/TFUZZ.2016.2574928 – ident: ref6 doi: 10.1109/TFUZZ.2014.2374193 – ident: ref3 doi: 10.1257/aer.104.10.3115 – volume: 6 start-page: 182 year: 2002 ident: ref39 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.996017 – ident: ref10 doi: 10.1109/TFUZZ.2016.2574926 – ident: ref14 doi: 10.1016/j.jbankfin.2014.05.013 – ident: ref1 doi: 10.1126/science.1173644 – ident: ref2 doi: 10.1111/j.1540-6261.2005.00821.x – year: 2001 ident: ref43 publication-title: Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach – ident: ref5 doi: 10.1109/TFUZZ.2014.2346244 – ident: ref7 doi: 10.1162/003465303322369803 – ident: ref30 doi: 10.1049/iet-cta.2016.1475 – ident: ref9 doi: 10.1023/A:1016313804297 – ident: ref23 doi: 10.1016/j.biosystems.2017.08.001 – ident: ref32 doi: 10.1016/j.neucom.2016.04.011 – ident: ref8 doi: 10.1016/j.jinteco.2012.05.003 – ident: ref24 doi: 10.4137/EBO.S13227 – year: 2004 ident: ref44 publication-title: Practical Genetic Algorithms – ident: ref33 doi: 10.1109/91.928735 – ident: ref4 doi: 10.1109/TFUZZ.2014.2327994 – year: 0 ident: ref29 article-title: Adaptive distributed observer approach for cooperative containment control of nonidentical networks publication-title: IEEE Trans Syst Man Cyber – year: 2001 ident: ref38 publication-title: Multi-Objective Optimization Using Evolutionary Algorithms – ident: ref18 doi: 10.1109/TCSI.2008.2007059 – ident: ref34 doi: 10.1109/TAC.2003.821400 – year: 2007 ident: ref11 publication-title: Applied Stochastic Process and Control for Jump-Diffusions Modeling Analysis and Computation – ident: ref37 doi: 10.1109/TEVC.2009.2017515 – ident: ref40 doi: 10.1007/1-84628-137-7 – ident: ref28 doi: 10.1109/TAC.2012.2215399 – ident: ref26 doi: 10.1109/TCST.2009.2031633 – ident: ref25 doi: 10.1109/TAC.2011.2173412 – ident: ref13 doi: 10.1080/14697688.2011.627880
SSID	ssj0000816898
Score	2.2984936
Snippet	The financial market is a nonlinear stochastic system with continuous Wiener and discontinuous Poisson random fluctuations. Most managers or investors hope...
SourceID	proquest pubmed crossref ieee
SourceType	Aggregation Database Index Database Enrichment Source Publisher
StartPage	3323
SubjectTerms	Cyber-financial system Decision making Decision theory Design engineering Economic models Evolutionary algorithms Evolutionary computation Game theory Investment strategy Linear matrix inequalities Linear systems Linearization Markets Mathematical analysis Matrix methods multiobjective evolutionary algorithm (MOEA) multiobjective optimization problem (MOP) multiperson noncooperative decision making Multiple objective analysis Nash equilibrium Nash equilibrium solution Nonlinear systems stochastic noncooperative game strategy Stochastic processes Stochastic systems System effectiveness Variation
Title	Noncooperative Game Strategy in Cyber-Financial Systems With Wiener and Poisson Random Fluctuations: LMIs-Constrained MOEA Approach
URI	https://ieeexplore.ieee.org/document/8494820 https://www.ncbi.nlm.nih.gov/pubmed/30334811 https://www.proquest.com/docview/2135277569 https://www.proquest.com/docview/2122577898
Volume	48
WOSCitedRecordID	wos000450613100006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 2168-2275 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000816898 issn: 2168-2267 databaseCode: RIE dateStart: 20130101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwELZKxYELUMojUCojcQBEWscbxzG3ZdUFJLpUqIjlFPkpVmqTah9IPfPHmXG8kZAAiUvkKI5jZcbjGdvzfYQ8D2D1dSVZLnH5vmRWIM2LyYPT3AjjisL1ZBNyNqvnc3W2Q14PuTDe-3j4zB9hMe7lu85ucKnsuEYsEw4B-g0pqz5Xa1hPiQQSkfqWQyEHr0KmTcyCqePzybe3eI6rPuKRgglp-sB4YxZq8duMFClW_u5txllneuf_-nuX3E7eJR336rBHdnx7j-yl8buiLxLI9Mt98nPWtbbrrnyP_E3f6UtPE1TtNV20dHJt_DKfbgE5aII2p18X6-9wwYaobh0960B0XUs_w013SacXG0xJidr8hn48_bDKkRM0MlF4R08_nYzpOOGY3ydfpifnk_d5ImTI7ahUa_iptnJKhMJqrUNgBtyjIGpwQowxTDgxKq0XEIAED4a0Cp5rriz3tnRc-1COHpDdtmv9I0KDlwxJP5RUtpTaaWGYLUqna24hQnQZYVuhNDahlWNXL5oYtTDVoEgbFGmTRJqRV8MrVz1Ux78q76O8hopJVBk52Eq-SYN51fACvFQpRaUy8mx4DMMQ91Z067sN1gHDKCVoYEYe9hoztL1VtMd__uYTcgt71p-ROSC76-XGPyU37Y_1YrU8BF2f14dR138B5Zz4mg
linkProvider	IEEE
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwEB5VBQkulFIeKQWMxAEQaR1vso65LasurdhdKrSI9hT5KVZqk2ofSD3zx_E43khIgMQlchTHsTLj8Yzt-T6AV85bfdnnNOW4fJ9TXSDNi0qdkUwVymSZackm-HRanp-Lsy141-XCWGvD4TN7iMWwl28avcalsqMSsUyYD9BvIXNWzNbqVlQChUQgv2W-kHq_gsdtzIyKo9nw4gOe5CoPWSBhQqI-b74xDzX7bU4KJCt_9zfDvDPa-b8e34d70b8kg1YhdmHL1g9gN47gJXkdYabf7MHPaVPrprm2LfY3-SivLIlgtTdkXpPhjbKLdLSB5CAR3Jx8m6---ws2RGRtyFnjhdfU5Iu_aa7I6HKNSSlBn9-T8eR0mSIraOCisIZMPh8PyCAimT-Er6Pj2fAkjZQMqe7lYuV_qu4bUbhMSymdo8o7SK4ovRuilKKFKXq5toUPQZz1prTvLJNMaGZ1bpi0Lu89gu26qe0TIM5yirQfggudc2lkoajOciNLpn2MaBKgG6FUOuKVY1cvqxC3UFGhSCsUaRVFmsDb7pXrFqzjX5X3UF5dxSiqBA42kq_icF5WLPN-KudFXyTwsnvsByLursjaNmus400j514DE3jcakzX9kbR9v_8zRdw52Q2GVfj0-mnp3AXe9memDmA7dVibZ_Bbf1jNV8ungeN_wUf_Pr7
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Noncooperative+Game+Strategy+in+Cyber-Financial+Systems+With+Wiener+and+Poisson+Random+Fluctuations%3A+LMIs-Constrained+MOEA+Approach&rft.jtitle=IEEE+transactions+on+cybernetics&rft.au=Chen%2C+Bor-Sen&rft.au=Chen%2C+Wei-Yu&rft.au=Young%2C+Chun-Tao&rft.au=Yan%2C+Zhiguo&rft.date=2018-12-01&rft.issn=2168-2275&rft.eissn=2168-2275&rft.volume=48&rft.issue=12&rft.spage=3323&rft_id=info:doi/10.1109%2FTCYB.2018.2869018&rft.externalDBID=NO_FULL_TEXT
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2168-2267&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2168-2267&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2168-2267&client=summon