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Branch and Bound×Heltalsprogrammering×
FagområdeOptimeringOptimering
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår19601958
OphavspersonAilsa Land & Alison DoigRalph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)
TypeExact combinatorial optimization algorithmMathematical optimisation — exact combinatorial method
Oprindelig kildeLand, A. H., & Doig, A. G. (1960). An automatic method of solving discrete programming problems. Econometrica, 28(3), 497–520. DOI ↗Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669
AliasserB&B, Land-Doig Algorithm, Implicit Enumeration, Dal ve SınırIP, MIP, mixed-integer programming, mixed-integer linear programming
Relaterede34
ResuméBranch and Bound is a systematic exact algorithm for combinatorial and integer optimization problems, introduced by Ailsa Land and Alison Doig in 1960. It organizes the search space as a tree of subproblems, uses relaxation-derived upper bounds to prune branches that cannot improve the best known solution, and guarantees finding a globally optimal integer solution. It is the backbone of modern mixed-integer programming solvers used in operations research, logistics, scheduling, and engineering design.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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ScholarGateSammenlign metoder: Branch and Bound · Integer Programming. Hentet 2026-06-15 fra https://scholargate.app/da/compare