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Annealing Simulado×Tabu Search×
ÁreaOtimizaçãoOtimização
FamíliaProcess / pipelineProcess / pipeline
Ano de origem19831989
Autor originalFred Glover
TipoProbabilistic metaheuristic / local searchLocal-search metaheuristic
Fonte seminalKirkpatrick, S., Gelatt, C.D. & Vecchi, M.P. (1983). Optimization by Simulated Annealing. Science, 220(4598), 671-680. DOI ↗Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206. link ↗
Outros nomesBenzetimli Tavlama (Simulated Annealing), SA, probabilistic local searchTabu Araması (Tabu Search), TS, tabu metaheuristic
Relacionados54
ResumoSimulated annealing is a probabilistic local-search metaheuristic introduced by Kirkpatrick, Gelatt, and Vecchi in 1983. It models the physical annealing process in metallurgy — where a material is heated and then slowly cooled to reach a low-energy crystalline state — and uses this analogy to escape local optima in combinatorial and continuous optimization problems.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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ScholarGateComparar métodos: Simulated Annealing · Tabu Search. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare