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Volumn 2470, Issue , 2002, Pages 686-691

A relaxation of the cumulative constraint

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; MATHEMATICAL PROGRAMMING;

EID: 33646191231     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46135-3_46     Document Type: Conference Paper
Times cited : (13)

References (19)
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  • 2
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    • Constraint propagation and decomposition techniques for highly disjunctive and highly cumulative project scheduling problems
    • Springer-Verlag (Berlin
    • Baptiste, P., and C. Le Pape, Constraint propagation and decomposition techniques for highly disjunctive and highly cumulative project scheduling problems. Principles and Practice of Constraint Programming (CP 97), Springer-Verlag (Berlin, 1997) 375–89.
    • (1997) Principles and Practice of Constraint Programming (CP 97) , pp. 375-389
    • Baptiste, P.1    Le Pape, C.2
  • 3
    • 0000397138 scopus 로고    scopus 로고
    • Branch and infer: A unifying framework for integer and finite domain constraint programming
    • Bockmayr, A., and T. Kasper. 1998. Branch and infer: A unifying framework for integer and finite domain constraint programming, INFORMS Journal on Computing 10 287–300.
    • (1998) INFORMS Journal on Computing , vol.10 , pp. 287-300
    • Bockmayr, A.1    Kasper, T.2
  • 7
    • 0008496738 scopus 로고    scopus 로고
    • Constraint satisfaction methods for generating valid cuts
    • D. L. Woodruff, ed., Logic Programming and Heuristic Search, Kluwer (Dordrecht)
    • Hooker, J. N. 1997. Constraint satisfaction methods for generating valid cuts, in D. L. Woodruff, ed., Advances in Computational and Stochasic Optimization, Logic Programming and Heuristic Search, Kluwer (Dordrecht) 1–30.
    • (1997) Advances in Computational and Stochasic Optimization , pp. 1-30
    • Hooker, J.N.1
  • 8
    • 0004108743 scopus 로고    scopus 로고
    • Combining Optimization and Constraint Satisfaction, Wiley (New York)
    • Hooker, J. N. 2000. Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction, Wiley (New York).
    • (2000) Logic-Based Methods for Optimization
    • Hooker, J.N.1
  • 9
    • 2542528067 scopus 로고    scopus 로고
    • Logic, optimization and constraint programming
    • to appear in INFORMS
    • Hooker, J. N. 2001. Logic, optimization and constraint programming, to appear in INFORMS Journal on Computing.
    • (2001) Journal on Computing
    • Hooker, J.N.1
  • 12
    • 46249093794 scopus 로고    scopus 로고
    • Algorithms for hybrid MILP/CLP models for a class of optimization problems
    • to appear
    • Jain, V., and I. E. Grossmann. 1999. Algorithms for hybrid MILP/CLP models for a class of optimization problems, INFORMS Journal on Computing, to appear.
    • (1999) INFORMS Journal on Computing
    • Jain, V.1    Grossmann, I.E.2
  • 15
    • 84957372828 scopus 로고    scopus 로고
    • Tight cooperation and its application in piecewise linear optimization
    • J. Jaffar, ed., Lecture Notes in Computer Science, Springer (Berlin)
    • Réfalo, P. 1999. Tight cooperation and its application in piecewise linear optimization, in J. Jaffar, ed., Principles and Practice of Constraint Programming, Lecture Notes in Computer Science 1713, Springer (Berlin), 373-389.
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  • 17
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    • Connections between integer linear programming and constraint logic programming–An overview and introduction to the cluster of articles
    • Williams, H. P., and J. M. Wilson. 1998. Connections between integer linear programming and constraint logic programming–An overview and introduction to the cluster of articles, INFORMS Journal on Computing 10 261–264.
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    • Williams, H.P.1    Wilson, J.M.2
  • 18
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    • Representations of the all-different predicate
    • to appear
    • Williams, H. P., and Hong Yan. 2001. Representations of the all-different predicate, INFORMS Journal on Computing, to appear.
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  • 19
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    • Tight representation of logical constraints as cardinality rules
    • Yan, H., and J. N. Hooker. 1999. Tight representation of logical constraints as cardinality rules, Mathematical Programming 85 363–377.
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    • Yan, H.1    Hooker, J.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.