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Bayesian Tabu Search×Utafutaji Tabu×
NyanjaUigajiUboreshaji
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili1989 (tabu search); hybrid formulations ~2005–20151989
MwanzilishiGlover, F. (tabu search); Bayesian integration developed by multiple researchers in the 2000s–2010sFred Glover
AinaHybrid metaheuristic — memory-based local search with Bayesian probabilistic guidanceLocal-search metaheuristic
Chanzo asiliaGlover, 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 ↗
Majina mbadalaBTS, Bayesian-guided tabu search, probabilistic tabu search, Bayes-TSTabu Araması (Tabu Search), TS, tabu metaheuristic
Zinazohusiana64
MuhtasariBayesian 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.
ScholarGateSeti ya data
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Bayesian Tabu Search · Tabu Search. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare