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领域仿真优化
方法族Process / pipelineProcess / pipeline
起源年份1989 (tabu search); hybrid formulations ~2005–20151989
提出者Glover, F. (tabu search); Bayesian integration developed by multiple researchers in the 2000s–2010sFred Glover
类型Hybrid metaheuristic — memory-based local search with Bayesian probabilistic guidanceLocal-search metaheuristic
开创性文献Glover, F. (1989). Tabu search — Part I. ORSA Journal on Computing, 1(3), 190–206. DOI ↗Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206. link ↗
别名BTS, Bayesian-guided tabu search, probabilistic tabu search, Bayes-TSTabu Araması (Tabu Search), TS, tabu metaheuristic
相关64
摘要Bayesian Tabu Search (BTS) is a hybrid metaheuristic that couples the memory-based forbidden-move mechanism of classic Tabu Search with a Bayesian probabilistic model. The Bayesian component learns from past evaluations to score candidate moves, focusing the search on promising regions while the tabu list prevents cycling. This combination reduces wasted function evaluations in expensive combinatorial and continuous optimization problems.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.
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  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Bayesian Tabu Search · Tabu Search. 于 2026-06-18 检索自 https://scholargate.app/zh/compare