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Цялочислено оптимиране×Ограничително програмиране×Программиране с целеви стойности (Goal Programming)×
ОбластОптимизацияОптимизацияВземане на решения
СемействоProcess / pipelineProcess / pipelineMCDM
Година на възникване195820061955
СъздателRalph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)Rossi, van Beek & WalshCharnes, A., Cooper, W. W.
ТипMathematical optimisation — exact combinatorial methodDeclarative combinatorial optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
Основополагащ източникWolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669Rossi, F., van Beek, P., & Walsh, T. (Eds.). (2006). Handbook of Constraint Programming. Elsevier. ISBN: 978-0-444-52726-4Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗
Други названияIP, MIP, mixed-integer programming, mixed-integer linear programmingConstraint Satisfaction Programming, Constraint-Based Optimization, Kısıt Programlama, CSP Optimization
Свързани438
РезюмеInteger 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.Constraint Programming (CP) is a declarative optimization paradigm in which a problem is formulated as a set of variables, finite domains, and constraints, and a solver systematically searches for assignments that satisfy all constraints. Formalized comprehensively by Rossi, van Beek, and Walsh in their 2006 Handbook of Constraint Programming, CP unifies propagation-based pruning with intelligent backtracking search to tackle combinatorial problems across scheduling, planning, and configuration domains.GOAL-PROGRAMMING (Goal Programming — Minimise deviations from multiple aspiration levels) is a ranking multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W. in 1955. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateСравнение на методи: Integer Programming · Constraint Programming · GOAL-PROGRAMMING. Извлечено на 2026-06-15 от https://scholargate.app/bg/compare