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Programowanie z ograniczeniami×Przeszukiwanie tabu×
DziedzinaOptymalizacjaOptymalizacja
RodzinaProcess / pipelineProcess / pipeline
Rok powstania20061989
TwórcaRossi, van Beek & WalshFred Glover
TypDeclarative combinatorial optimizationLocal-search metaheuristic
Źródło pierwotneRossi, F., van Beek, P., & Walsh, T. (Eds.). (2006). Handbook of Constraint Programming. Elsevier. ISBN: 978-0-444-52726-4Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206. link ↗
Inne nazwyConstraint Satisfaction Programming, Constraint-Based Optimization, Kısıt Programlama, CSP OptimizationTabu Araması (Tabu Search), TS, tabu metaheuristic
Pokrewne34
PodsumowanieConstraint 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.Tabu Search is a local-search metaheuristic introduced by Fred Glover in 1989 that uses a tabu list — a short-term memory of recently visited solutions — to prevent cycling and escape local optima. By explicitly forbidding moves that reverse recent decisions, the algorithm explores the search space more broadly and, through long-term memory structures such as aspiration criteria, aims to approach the global optimum even in large, complex combinatorial problems.
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ScholarGatePorównaj metody: Constraint Programming · Tabu Search. Pobrano 2026-06-15 z https://scholargate.app/pl/compare