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Volumn 20, Issue 2, 2005, Pages

Neural network based phase estimation of individual fitness in interactive genetic algorithm

Author keywords

Fitness; Interactive genetic algorithm; Neural network

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; LEARNING ALGORITHMS; NEURAL NETWORKS;

EID: 15744382923     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (33)

References (5)
  • 1
    • 0000530063 scopus 로고    scopus 로고
    • Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evaluation
    • Takagi H. Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evaluation[J]. Proc of the IEEE, 2001, 89(9): 1275-1296.
    • (2001) Proc of the IEEE , vol.89 , Issue.9 , pp. 1275-1296
    • Takagi, H.1
  • 2
    • 15744368483 scopus 로고    scopus 로고
    • Improved interactive genetic algorithm incorporating with SVM and its application
    • Wang S F, Wang S H, Wang X F. Improved interactive genetic algorithm incorporating with SVM and its application [J]. J of Data Acquisition and Processing, 2003, 18(4): 429-433.
    • (2003) J of Data Acquisition and Processing , vol.18 , Issue.4 , pp. 429-433
    • Wang, S.F.1    Wang, S.H.2    Wang, X.F.3
  • 4
    • 0033281235 scopus 로고    scopus 로고
    • Sparse fitness evaluation for reducing user burden in interactive genetic algorithm
    • Seoul
    • Lee Joo-young, Cho Sung-bae. Sparse fitness evaluation for reducing user burden in interactive genetic algorithm [A]. 1999 IEEE International Fuzzy Systems Conference Proceedings [C]. Seoul, 1999, 2: 998-1003.
    • (1999) 1999 IEEE International Fuzzy Systems Conference Proceedings , vol.2 , pp. 998-1003
    • Lee, J.-Y.1    Cho, S.-B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.