Process / pipelineMetaheuristics
蝙蝠算法
蝙蝠算法（Bat Algorithm, BA）是由Xin-She Yang于2010年提出的一种受自然启发的元启发式优化方法。它模仿微型蝙蝠的回声定位行为来平衡全局探索和局部开发。每只人工蝙蝠都会调整其位置、速度和发射频率，同时响度和脉冲率动态控制着从广泛搜索到精细局部调整的过渡。BA适用于工程、调度和机器学习等领域的连续和组合优化问题。
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来源
- Yang, X.-S. (2010). A new metaheuristic bat-inspired algorithm. Nature Inspired Cooperative Strategies for Optimization (NICSO), 65–74. DOI: 10.1007/978-3-642-12538-6_6 ↗
如何引用本页
ScholarGate. (2026, June 2). Bat Algorithm. ScholarGate. https://scholargate.app/zh/optimization/bat-algorithm
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