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Двоуровнева оптимізація (Лідер-Послідовник)×Цілочисельне програмування×
ГалузьОптимізаціяОптимізація
РодинаProcess / pipelineProcess / pipeline
Рік появи19981958
Автор методуJonathan BardRalph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)
ТипHierarchical mathematical programmingMathematical optimisation — exact combinatorial method
Основоположне джерелоBard, J. F. (1998). Practical Bilevel Optimization: Algorithms and Applications. Kluwer Academic Publishers. ISBN: 978-0-7923-5458-7Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669
Інші назвиStackelberg Optimization, Hierarchical Programming, Nested Optimization, İki Düzeyli OptimizasyonIP, MIP, mixed-integer programming, mixed-integer linear programming
Пов'язані34
ПідсумокBilevel optimization is a class of mathematical programming problems in which one optimization problem is nested inside another. The upper-level (leader) problem optimizes its objective subject to constraints that include the solution of a lower-level (follower) problem. Formalized comprehensively by Jonathan Bard in 1998, the framework models hierarchical decision-making where the leader anticipates and accounts for the rational response of the follower.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.
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ScholarGateПорівняння методів: Bilevel Optimization · Integer Programming. Отримано 2026-06-15 з https://scholargate.app/uk/compare