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확률적 타부 탐색×모의 담금질×
분야시뮬레이션최적화
계열Process / pipelineProcess / pipeline
기원 연도1990s1983
창시자Glover, F. (base TS); stochastic extensions by various authors (1990s–2000s)
유형Stochastic metaheuristic optimizerProbabilistic metaheuristic / local search
원전Glover, 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 ↗
별칭STS, Randomized Tabu Search, Probabilistic Tabu Search, Noisy Tabu SearchBenzetimli Tavlama (Simulated Annealing), SA, probabilistic local search
관련55
요약Stochastic 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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ScholarGate방법 비교: Stochastic Tabu Search · Simulated Annealing. 2026-06-19에 다음에서 검색함: https://scholargate.app/ko/compare