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整数計画法×動的計画法×
分野最適化最適化
系統Process / pipelineProcess / pipeline
提唱年19581957
提唱者Ralph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)Richard Bellman
種類Mathematical optimisation — exact combinatorial methodExact combinatorial optimization via recursive decomposition
原典Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669Bellman, R. (1957). Dynamic Programming. Princeton University Press. ISBN: 978-0-691-07951-6
別名IP, MIP, mixed-integer programming, mixed-integer linear programmingDP, Bellman's Principle of Optimality, Recursive Optimization, Dinamik Programlama
関連43
概要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.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: Integer Programming · Dynamic Programming. 2026-06-15に以下より取得 https://scholargate.app/ja/compare