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混合整数計画法×線形計画法×
分野シミュレーション最適化
系統Process / pipelineProcess / pipeline
提唱年1958–19601947
提唱者Ralph Gomory (branch-and-bound cuts, 1958); Land & Doig (branch-and-bound, 1960)George B. Dantzig
種類Mathematical optimizationMathematical programming / continuous optimization
原典Nemhauser, G. L., Wolsey, L. A. (1988). Integer and Combinatorial Optimization. Wiley-Interscience, New York. ISBN: 9780471359432Dantzig, G.B. (1963). Linear Programming and Extensions. Princeton University Press. ISBN: 9780691059136
別名MIP, Mixed-Integer Linear Programming, MILP, Integer ProgrammingLP, linear optimization, Doğrusal Programlama (LP)
関連64
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.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: Mixed-Integer Programming · Linear Programming. 2026-06-15に以下より取得 https://scholargate.app/ja/compare