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基于智能体的禁忌搜索 — 分布式多智能体元启发式优化

基于智能体的禁忌搜索(ABTS)将禁忌搜索元启发式方法嵌入多智能体框架中,其中自主智能体各自运行独立或协作的禁忌搜索线程,共享有希望的解以逃离局部最优,并比单线程实现更有效地集体探索大型组合或连续搜索空间。

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Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Glover, F. (1989). Tabu search — Part I. ORSA Journal on Computing, 1(3), 190–206. DOI: 10.1287/ijoc.1.3.190
  2. Verhoeven, M. G. A., Aarts, E. H. L. (1995). Parallel local search. Journal of Heuristics, 1(1), 43–65. DOI: 10.1007/bf02430365

如何引用本页

ScholarGate. (2026, June 3). Agent-Based Tabu Search — Distributed Multi-Agent Metaheuristic Optimization. ScholarGate. https://scholargate.app/zh/simulation/agent-based-tabu-search

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side
ScholarGateAgent-based Tabu Search (Agent-Based Tabu Search — Distributed Multi-Agent Metaheuristic Optimization). 于 2026-06-15 检索自 https://scholargate.app/zh/simulation/agent-based-tabu-search · 数据集: https://doi.org/10.5281/zenodo.20539026