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Annealing Simulado Determinista×Búsqueda Tabú×
CampoSimulaciónOptimización
FamiliaProcess / pipelineProcess / pipeline
Año de origen19901989
Autor originalRose, K., Gurewitz, E., Fox, G. C.Fred Glover
TipoDeterministic metaheuristic — annealing schedule without probabilistic acceptanceLocal-search metaheuristic
Fuente seminalRose, K., Gurewitz, E., Fox, G. C. (1990). A deterministic annealing approach to clustering. Pattern Recognition Letters, 11(9), 589-594. DOI ↗Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206. link ↗
AliasDSA, Deterministic Annealing, Greedy Annealing, Temperature-Scheduled DescentTabu Araması (Tabu Search), TS, tabu metaheuristic
Relacionados24
ResumenDeterministic Simulated Annealing (DSA) is an optimization metaheuristic that adopts the cooling-schedule structure of classical simulated annealing but replaces the probabilistic Metropolis acceptance criterion with a strictly deterministic rule: only improving moves are accepted. This yields a reproducible, greedy-descent procedure guided by an annealing temperature schedule.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.
ScholarGateConjunto de datos
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  2. 2 Fuentes
  3. PUBLISHED
  1. v1
  2. 2 Fuentes
  3. PUBLISHED

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ScholarGateComparar métodos: Deterministic Simulated Annealing · Tabu Search. Recuperado el 2026-06-18 de https://scholargate.app/es/compare