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Agentbasert tabusøk – distribuert multiagent-metaheuristisk optimering×Multi-objektiv Tabu-søk (MOTS)×
FagfeltSimuleringSimulering
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår1989–19951997
OpphavspersonGlover, F. (tabu search); multi-agent extension by various researchers in the 1990s–2000sHansen, M. P.; building on Glover (1989) Tabu Search
TypeHybrid metaheuristic — agent-based distributed tabu searchMetaheuristic multi-objective optimization
Opprinnelig kildeGlover, 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 ↗
AliasABTS, Multi-Agent Tabu Search, Distributed Tabu Search, Cooperative Tabu SearchMOTS, Multi-criteria Tabu Search, Pareto Tabu Search, TSMOO
Relaterte45
SammendragAgent-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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ScholarGateSammenlign metoder: Agent-based Tabu Search · Multi-objective Tabu Search. Hentet 2026-06-18 fra https://scholargate.app/no/compare