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תחוםסימולציהאופטימיזציה
משפחהProcess / pipelineProcess / pipeline
שנת המקור1990s1983
הוגה השיטהGlover, F. (base TS); stochastic extensions by various authors (1990s–2000s)
סוגStochastic metaheuristic optimizerProbabilistic metaheuristic / local search
מקור מכונןGlover, 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 ↗
כינוייםSTS, Randomized Tabu Search, Probabilistic Tabu Search, Noisy Tabu SearchBenzetimli Tavlama (Simulated Annealing), SA, probabilistic local search
קשורות55
תקצירStochastic 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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ScholarGateהשוואת שיטות: Stochastic Tabu Search · Simulated Annealing. אוחזר בתאריך 2026-06-19 מתוך https://scholargate.app/he/compare