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البرمجة الصحيحة المختلطة×التفرع والتحديد×
المجالالمحاكاةالتحسين
العائلةProcess / pipelineProcess / pipeline
سنة النشأة1958–19601960
صاحب الطريقةRalph Gomory (branch-and-bound cuts, 1958); Land & Doig (branch-and-bound, 1960)Ailsa Land & Alison Doig
النوعMathematical optimizationExact combinatorial optimization algorithm
المصدر التأسيسيNemhauser, G. L., Wolsey, L. A. (1988). Integer and Combinatorial Optimization. Wiley-Interscience, New York. ISBN: 9780471359432Land, A. H., & Doig, A. G. (1960). An automatic method of solving discrete programming problems. Econometrica, 28(3), 497–520. DOI ↗
الأسماء البديلةMIP, Mixed-Integer Linear Programming, MILP, Integer ProgrammingB&B, Land-Doig Algorithm, Implicit Enumeration, Dal ve Sınır
ذات صلة63
الملخصMixed-Integer Programming (MIP) is a mathematical optimization framework in which some decision variables must take integer values while others may be continuous. It generalizes linear programming and is widely used in operations research, logistics, scheduling, resource allocation, and engineering design, where indivisibility constraints — such as yes/no decisions or whole-unit quantities — arise naturally.Branch 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.
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ScholarGateقارن الطرق: Mixed-Integer Programming · Branch and Bound. استُرجع بتاريخ 2026-06-15 من https://scholargate.app/ar/compare