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Agent-Based Tabu Search×Multi-objective Tabu Search (MOTS)×
FachgebietSimulationSimulation
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr1989–19951997
UrheberGlover, F. (tabu search); multi-agent extension by various researchers in the 1990s–2000sHansen, M. P.; building on Glover (1989) Tabu Search
TypHybrid metaheuristic — agent-based distributed tabu searchMetaheuristic multi-objective optimization
Wegweisende QuelleGlover, F. (1989). Tabu search — Part I. ORSA Journal on Computing, 1(3), 190–206. DOI ↗Hansen, M. P. (1997). Tabu search for multiobjective optimization: MOTS. Presented at the 13th International Conference on Multiple Criteria Decision Making (MCDM), Cape Town, South Africa. link ↗
AliasnamenABTS, Multi-Agent Tabu Search, Distributed Tabu Search, Cooperative Tabu SearchMOTS, Multi-criteria Tabu Search, Pareto Tabu Search, TSMOO
Verwandt45
ZusammenfassungAgent-Based Tabu Search (ABTS) embeds the tabu search metaheuristic inside a multi-agent framework where autonomous agents each run independent or cooperating tabu search threads, sharing promising solutions to escape local optima and collectively explore large combinatorial or continuous search spaces more effectively than a single-thread implementation.Multi-objective Tabu Search (MOTS) is a metaheuristic algorithm that extends the classic Tabu Search framework to simultaneously optimize two or more conflicting objective functions. Instead of a single optimum, it seeks to approximate the Pareto front — the set of solutions where no objective can be improved without worsening another — making it suitable for complex combinatorial and continuous optimization problems in engineering, logistics, and operations research.
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ScholarGateMethoden vergleichen: Agent-based Tabu Search · Multi-objective Tabu Search. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare