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鲸鱼优化算法 (WOA)

鲸鱼优化算法 (WOA) 是一种基于群体元启发式算法,由 Mirjalili 和 Lewis 于 2016 年提出。它模拟了座头鲸的泡网捕食策略,即一群鲸鱼围绕猎物盘旋,并逐渐收紧包围圈。该算法通过一小组参数来平衡全局探索和局部开发,已广泛应用于连续工程优化问题。

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来源

  1. Mirjalili, S. & Lewis, A. (2016). The Whale Optimization Algorithm. Advances in Engineering Software, 95, 51-67. DOI: 10.1016/j.advengsoft.2016.01.008
  2. Chakraborty, S. et al. (2023). A Comprehensive Review of the Whale Optimization Algorithm: Modifications, Variants, and Applications. Artificial Intelligence Review. link

如何引用本页

ScholarGate. (2026, June 1). Whale Optimization Algorithm (WOA). ScholarGate. https://scholargate.app/zh/optimization/whale-optimization

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ScholarGateWhale Optimization Algorithm (Whale Optimization Algorithm (WOA)). 于 2026-06-15 检索自 https://scholargate.app/zh/optimization/whale-optimization · 数据集: https://doi.org/10.5281/zenodo.20539026