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Pencarian Tabu Berbasis Agen×Pencarian Tabu Multi-objektif (MOTS)×
BidangSimulasiSimulasi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1989–19951997
PencetusGlover, F. (tabu search); multi-agent extension by various researchers in the 1990s–2000sHansen, M. P.; building on Glover (1989) Tabu Search
TipeHybrid metaheuristic — agent-based distributed tabu searchMetaheuristic multi-objective optimization
Sumber perintisGlover, 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
Terkait45
RingkasanAgent-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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ScholarGateBandingkan metode: Agent-based Tabu Search · Multi-objective Tabu Search. Diakses 2026-06-18 dari https://scholargate.app/id/compare