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领域仿真优化
方法族Process / pipelineProcess / pipeline
起源年份1990s1989
提出者Glover, F. (base TS); stochastic extensions by various authors (1990s–2000s)Fred Glover
类型Stochastic metaheuristic optimizerLocal-search metaheuristic
开创性文献Glover, F. (1990). Tabu search: A tutorial. Interfaces, 20(4), 74-94. DOI ↗Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206. link ↗
别名STS, Randomized Tabu Search, Probabilistic Tabu Search, Noisy Tabu SearchTabu Araması (Tabu Search), TS, tabu metaheuristic
相关54
摘要Stochastic 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.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.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Stochastic Tabu Search · Tabu Search. 于 2026-06-19 检索自 https://scholargate.app/zh/compare