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Volumn 866 LNCS, Issue , 1994, Pages 149-158

Long path problems

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

EID: 84986265197     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-58484-6_259     Document Type: Conference Paper
Times cited : (76)

References (12)
  • 1
    • 0002379542 scopus 로고
    • Relative building-block fitness and the building-block hypothesis
    • L.D. Whitley (ed.), San Mateo, CA: Morgan Kaufmann
    • Forrest, S., Mitchell, M.: Relative building-block fitness and the building-block hypothesis. In: L.D. Whitley (ed.): Foundations of Genetic Algorithms, 2. San Mateo, CA: Morgan Kaufmann (1993) 109–126
    • (1993) Foundations of Genetic Algorithms , vol.2 , pp. 109-126
    • Forrest, S.1    Mitchell, M.2
  • 3
    • 2942618553 scopus 로고
    • Making genetic algorithms fly: A lesson from the Wright brothers
    • 2 February
    • Goldberg, D. E.: Making genetic algorithms fly: a lesson from the Wright brothers. Advanced Technology for Developers. 2 February (1993) 1–8
    • (1993) Advanced Technology for Developers , pp. 1-8
    • Goldberg, D.E.1
  • 4
    • 32444443189 scopus 로고
    • Reverse hillclimbing, genetic algorithms and the busy beaver problem
    • S. Forrest (ed.), San Mateo, CA: Morgan Kaufmann
    • Jones, T., Rawlins, G. J. E.: Reverse hillclimbing, genetic algorithms and the busy beaver problem. In: S. Forrest (ed.): Proceedings of the Fifth International Conference on Genetic Algorithms. San Mateo, CA: Morgan Kaufmann (1993) 70–75
    • (1993) Proceedings of the Fifth International Conference on Genetic Algorithms , pp. 70-75
    • Jones, T.1    Rawlins, G.J.E.2
  • 10
    • 0002091030 scopus 로고
    • How genetic algorithms really work, I. Fundamentals
    • R. Männer, B. Manderick (eds.), Amsterdam: North-Holland
    • Mühlenbein, H.: How genetic algorithms really work, I. fundamentals. In: R. Männer, B. Manderick (eds.): Parallel Problem Solving From Nature, 2. Amsterdam: North-Holland (1992) 15–26
    • (1992) Parallel Problem Solving from Nature , pp. 15-26
    • Mühlenbein, H.1
  • 12
    • 0009350817 scopus 로고
    • GA-easy does not imply steepest-ascent optimizable
    • R.K. Belew, L.B. Booker (eds.), San Mateo, CA: Morgan Kaufmann
    • Wilson, S. W.: GA-easy does not imply steepest-ascent optimizable. In: R.K. Belew, L.B. Booker (eds.): Proceedings of the Fourth International Conference on Genetic Algorithms. San Mateo, CA: Morgan Kaufmann (1991) 85–89
    • (1991) Proceedings of the Fourth International Conference on Genetic Algorithms , pp. 85-89
    • Wilson, S.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.