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Volumn , Issue , 2008, Pages 64-69

System of systems architecture generation and evaluation using evolutionary algorithms

Author keywords

Computational intelligence; Evolutionary algorithms; System; System of systems

Indexed keywords

CLASSICAL SYSTEMS; COMPUTATIONAL INTELLIGENCE; COMPUTATIONAL INTELLIGENCE TECHNIQUES; ENGINEERING ANALYSIS TECHNIQUES; FUZZY ASSOCIATIVE MEMORIES; SYSTEM; SYSTEM ARCHITECTURES; SYSTEM OF SYSTEMS; SYSTEM-OF-SYSTEMS ARCHITECTURE; SYSTEMS CONFERENCE;

EID: 49049084925     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SYSTEMS.2008.4518989     Document Type: Conference Paper
Times cited : (8)

References (5)
  • 3
    • 34748860362 scopus 로고    scopus 로고
    • Understanding Behavior Of System Of Systems Through Computational Intelligence Techniques
    • Honolulu, Hawaii, April
    • C. H. Dagli and N. Kilicay, "Understanding Behavior Of System Of Systems Through Computational Intelligence Techniques." CD Proceedings of ISt Annual 2007 IEEE Systems Conference, Honolulu, Hawaii, April, 2007.
    • (2007) CD Proceedings of ISt Annual 2007 IEEE Systems Conference
    • Dagli, C.H.1    Kilicay, N.2
  • 4
    • 0004065899 scopus 로고    scopus 로고
    • The Fuzzy Systems Handbook
    • Second Edition, AP Professional, New York
    • E. Cox, The Fuzzy Systems Handbook, Second Edition. Appendix A, pp. 659-680, AP Professional, New York, 1999.
    • (1999) Appendix A , pp. 659-680
    • Cox, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.