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Bayesian Tabu Search

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.

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Bayesian Tabu Search — Probabilistic guidance integrated with memory-based local search

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Taxonomic bucketBayesian Genetic Algorithmmachine-suggested · Relational suggestion, not evidence.Same method familyBayesian Optimizationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Simulated Annealingmachine-suggested · Relational suggestion, not evidence.Same method familySimulated Annealingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic Tabu Searchmachine-suggested · Relational suggestion, not evidence.Same method familyTabu Searchmachine-suggested · Relational suggestion, not evidence.