Process / pipelineSimulation / optimization
基于智能体的蚁群优化 — 用于组合和仿真问题的群体智能
基于智能体的蚁群优化（AB-ACO）将单个蚂蚁建模为自主智能体，它们通过在搜索图上跟随和沉积信息素轨迹来概率性地构建解决方案。通过将智能体级别的行为规则与共享信息素环境相结合，该集体系统能够有效地解决困难的组合和嵌入仿真的优化问题，而无需中央协调。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Dorigo, M., Stutzle, T. (2004). Ant Colony Optimization. MIT Press, Cambridge, MA. ISBN: 9780262042192
- Bonabeau, E., Dorigo, M., Theraulaz, G. (1999). Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York. ISBN: 9780195131581
如何引用本页
ScholarGate. (2026, June 3). Agent-Based Ant Colony Optimization. ScholarGate. https://scholargate.app/zh/simulation/agent-based-ant-colony-optimization
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.
- 基于主体的建模（ABM）仿真↔ compare
- 蚁群优化优化↔ compare
- 遗传算法优化↔ compare
- 多目标蚁群优化 (MOACO)仿真↔ compare
- 粒子群优化 (PSO)优化↔ compare