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整数計画法×線形計画法×
分野最適化最適化
系統Process / pipelineProcess / pipeline
提唱年19581947
提唱者Ralph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)George B. Dantzig
種類Mathematical optimisation — exact combinatorial methodMathematical programming / continuous optimization
原典Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669Dantzig, G.B. (1963). Linear Programming and Extensions. Princeton University Press. ISBN: 9780691059136
別名IP, MIP, mixed-integer programming, mixed-integer linear programmingLP, linear optimization, Doğrusal Programlama (LP)
関連44
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.Linear programming (LP), pioneered by George B. Dantzig in 1947, is a mathematical method for finding the best value of a linear objective function — such as minimum cost or maximum profit — subject to a set of linear inequality and equality constraints. It is the foundational technique in operations research and underlies production planning, resource allocation, logistics, diet problems, and countless other decision-making scenarios across engineering, economics, and the natural sciences.
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ScholarGate手法を比較: Integer Programming · Linear Programming. 2026-06-15に以下より取得 https://scholargate.app/ja/compare