Process / pipelineMetaheuristics
人工蜂群（ABC）优化
人工蜂群（Artificial Bee Colony, ABC）是一种基于种群的群体智能元启发式算法，由Karaboga和Basturk于2007年提出。它模拟了蜜蜂群体的协作觅食行为，以在连续数值优化问题中搜索最优解。该算法将候选解分配给三种蜂——即工蜂、观察蜂和侦察蜂——并通过局部搜索和概率选择迭代地改进它们，使其非常适合研究人员和工程师处理复杂、多模态的优化场景。
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来源
- Karaboga, D., & Basturk, B. (2007). A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. Journal of Global Optimization, 39(3), 459–471. DOI: 10.1007/s10898-007-9149-x ↗
如何引用本页
ScholarGate. (2026, June 2). Artificial Bee Colony (ABC) Optimization. ScholarGate. https://scholargate.app/zh/optimization/artificial-bee-colony
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