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Constraint Programming×Heltalsprogrammering×
ÄmnesområdeOptimeringOptimering
FamiljProcess / pipelineProcess / pipeline
Ursprungsår20061958
UpphovspersonRossi, van Beek & WalshRalph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)
TypDeclarative combinatorial optimizationMathematical optimisation — exact combinatorial method
UrsprungskällaRossi, F., van Beek, P., & Walsh, T. (Eds.). (2006). Handbook of Constraint Programming. Elsevier. ISBN: 978-0-444-52726-4Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669
AliasConstraint Satisfaction Programming, Constraint-Based Optimization, Kısıt Programlama, CSP OptimizationIP, MIP, mixed-integer programming, mixed-integer linear programming
Närliggande34
SammanfattningConstraint Programming (CP) is a declarative optimization paradigm in which a problem is formulated as a set of variables, finite domains, and constraints, and a solver systematically searches for assignments that satisfy all constraints. Formalized comprehensively by Rossi, van Beek, and Walsh in their 2006 Handbook of Constraint Programming, CP unifies propagation-based pruning with intelligent backtracking search to tackle combinatorial problems across scheduling, planning, and configuration domains.Integer programming (IP), also called mixed-integer programming (MIP) when only some variables are restricted to whole numbers, is a branch of mathematical optimisation in which some or all decision variables must take integer or binary values. Building on linear programming, it was formalised through Ralph Gomory's cutting-plane method (1958) and the Land-and-Doig branch-and-bound algorithm (1960), and it has since become the standard exact framework for scheduling, assignment, routing, and resource-allocation problems.
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ScholarGateJämför metoder: Constraint Programming · Integer Programming. Hämtad 2026-06-15 från https://scholargate.app/sv/compare