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Stokastisk Tabusökning×Simulated Annealing – Probabilistisk Optimering×
ÄmnesområdeSimuleringOptimering
FamiljProcess / pipelineProcess / pipeline
Ursprungsår1990s1983
UpphovspersonGlover, F. (base TS); stochastic extensions by various authors (1990s–2000s)
TypStochastic metaheuristic optimizerProbabilistic metaheuristic / local search
UrsprungskällaGlover, F. (1990). Tabu search: A tutorial. Interfaces, 20(4), 74-94. DOI ↗Kirkpatrick, S., Gelatt, C.D. & Vecchi, M.P. (1983). Optimization by Simulated Annealing. Science, 220(4598), 671-680. DOI ↗
AliasSTS, Randomized Tabu Search, Probabilistic Tabu Search, Noisy Tabu SearchBenzetimli Tavlama (Simulated Annealing), SA, probabilistic local search
Närliggande55
SammanfattningStochastic Tabu Search (STS) is an extension of classical Tabu Search that introduces randomness into the neighborhood exploration and move-selection phases. By combining tabu memory — which forbids recently visited solutions — with probabilistic acceptance or random candidate sampling, STS escapes local optima more effectively and explores rugged solution landscapes that deterministic TS may fail to traverse.Simulated 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.
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ScholarGateJämför metoder: Stochastic Tabu Search · Simulated Annealing. Hämtad 2026-06-19 från https://scholargate.app/sv/compare