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混合整数計画法×動的計画法×
分野シミュレーション最適化
系統Process / pipelineProcess / pipeline
提唱年1958–19601957
提唱者Ralph Gomory (branch-and-bound cuts, 1958); Land & Doig (branch-and-bound, 1960)Richard Bellman
種類Mathematical optimizationExact combinatorial optimization via recursive decomposition
原典Nemhauser, G. L., Wolsey, L. A. (1988). Integer and Combinatorial Optimization. Wiley-Interscience, New York. ISBN: 9780471359432Bellman, R. (1957). Dynamic Programming. Princeton University Press. ISBN: 978-0-691-07951-6
別名MIP, Mixed-Integer Linear Programming, MILP, Integer ProgrammingDP, Bellman's Principle of Optimality, Recursive Optimization, Dinamik Programlama
関連63
概要Mixed-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.Dynamic Programming (DP) is an exact optimization technique introduced by Richard Bellman in 1957 for solving multi-stage decision problems. It decomposes a complex problem into simpler, overlapping subproblems, solves each subproblem once, and stores the results to avoid redundant computation. Grounded in the Principle of Optimality, DP guarantees globally optimal solutions whenever the problem exhibits overlapping subproblems and optimal substructure.
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ScholarGate手法を比較: Mixed-Integer Programming · Dynamic Programming. 2026-06-15に以下より取得 https://scholargate.app/ja/compare