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Volumn 2148, Issue , 2001, Pages 37-54

Lagrange multipliers for local search on planning graphs

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COST FUNCTIONS; COSTS; HEURISTIC ALGORITHMS; LOCAL SEARCH (OPTIMIZATION); SCHEDULING;

EID: 84937428863     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-45612-0_3     Document Type: Conference Paper
Times cited : (1)

References (15)
  • 1
    • 0031074857 scopus 로고    scopus 로고
    • Fast planning through planning graph analysis
    • A. Blum and M.L. Furst. Fast planning through planning graph analysis. Artificial Intelligence, 90:281-300, 1997.
    • (1997) Artificial Intelligence , vol.90 , pp. 281-300
    • Blum, A.1    Furst, M.L.2
  • 2
    • 2942608460 scopus 로고    scopus 로고
    • Planning as heuristic search
    • (Special Issue on Heuristic Search) Forthcoming
    • B. Bonet and H. Geffner. Planning as heuristic search. Artificial Intelligence, 2000. (Special Issue on Heuristic Search) Forthcoming.
    • (2000) Artificial Intelligence
    • Bonet, B.1    Geffner, H.2
  • 13
    • 0003031564 scopus 로고    scopus 로고
    • A discrete lagrangian-based global-search method for solving satisfiability problems
    • Y. Shang and B. W. Wah. A discrete Lagrangian-based global-search method for solving satisfiability problems. Journal of Global Optimization, 12 no. 1:61-99, 1998.
    • (1998) Journal of Global Optimization , vol.12 , Issue.1 , pp. 61-99
    • Shang, Y.1    Wah, B.W.2
  • 14
    • 84957357422 scopus 로고    scopus 로고
    • The theory of discrete lagrange multipliers for nonlinear discrete optimization
    • Springer-Verlag, Oct
    • B. W. Wah and Z. Wu. The theory of discrete Lagrange multipliers for nonlinear discrete optimization. In Proc. Principles and Practice of Constraint Programming, pages 28-42. Springer-Verlag, Oct. 1999.
    • (1999) Proc. Principles and Practice of Constraint Programming , pp. 28-42
    • Wah, B.W.1    Wu, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.