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Алгоритъм на Вагнер-Уитин×Колоногенериране (Dantzig-Wolfe)×
ОбластИзследване на операциитеИзследване на операциите
СемействоMachine learningMachine learning
Година на възникване19581960
СъздателHarvey M. Wagner and Thomson M. WhitinGeorge B. Dantzig and Philip Wolfe
Типalgorithmalgorithm
Основополагащ източникWagner, H. M., & Whitin, T. M. (1958). Dynamic version of the economic lot size model. Management Science, 5(1), 89-96. DOI ↗Dantzig, G. B., & Wolfe, P. (1960). Decomposition principle for linear programs. Operations Research, 8(1), 101-111. DOI ↗
Други названияWagner-Whitin lot-sizing, dynamic lot-sizing algorithmDantzig-Wolfe decomposition, column generation method
Свързани33
РезюмеThe Wagner-Whitin Algorithm, introduced by Harvey M. Wagner and Thomson M. Whitin in 1958, is a dynamic programming solution to the capacitated lot-sizing problem. It determines optimal production quantities over multiple periods to minimize the total cost of production setup and inventory holding while meeting deterministic demand.Column Generation, developed by George B. Dantzig and Philip Wolfe in 1960, is a powerful optimization technique for solving large-scale linear programming problems with special structure. Also known as Dantzig-Wolfe Decomposition, it decomposes the problem into a master problem (restricted to a subset of variables/columns) and a pricing subproblem (identifying new variables), iteratively improving the solution by introducing only relevant columns.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Wagner-Whitin Algorithm · Column Generation (Dantzig-Wolfe). Извлечено на 2026-06-17 от https://scholargate.app/bg/compare