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Volumn 2124, Issue , 2001, Pages 668-675

A novel robust statistical design of the repeated genetic algorithm

Author keywords

Genetic algorithm; Object location problem; Statistical design

Indexed keywords

GENETIC ALGORITHMS; OBJECT DETECTION; STOCHASTIC SYSTEMS;

EID: 33746593986     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44692-3_80     Document Type: Conference Paper
Times cited : (2)

References (7)
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    • Hill, A.1    Taylor, C.J.2
  • 3
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    • Tsang, W.M.: A genetic algorithm for aligning object shapes. Image and Vision Computing 15 (1997) 819-831
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    • Tsang, W.M.1
  • 4
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    • Genetic algorithm with competitive image labelling and least square
    • Yuen, S.Y. and Ma, C.H.: Genetic algorithm with competitive image labelling and least square. Pattern Recognition 33(12) (2000) 1949-1966
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    • Yuen, S.Y.1    Ma, C.H.2
  • 5
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    • A Markov chain analysis on simple genetic algorithms
    • Suzuki, J.: A Markov chain analysis on simple genetic algorithms. IEEE Trans. On Systems, Man, and Cybernetics 25(4) (1995) 655-659
    • (1995) IEEE Trans. On Systems, Man, and Cybernetics , vol.25 , Issue.4 , pp. 655-659
    • Suzuki, J.1
  • 7
    • 0033746963 scopus 로고    scopus 로고
    • Efficient parallel genetic algorithms: Theory and practice
    • Cantu-Paz, E. and Goldberg, D.E.: Efficient parallel genetic algorithms: theory and practice, Comput. Methods Appl. Mech. Engrg. 186 (2000) 211-238
    • (2000) Comput. Methods Appl. Mech. Engrg , vol.186 , pp. 211-238
    • Cantu-Paz, E.1    Goldberg, D.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.