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Harmony Search — 音乐启发式元启发式优化

Harmony Search (HS) 是一种群体元启发式优化算法,由 Geem、Kim 和 Loganathan 于 2001 年提出。它模仿爵士乐手寻求完美和谐状态的即兴创作过程,使用三个算子——记忆考虑、音高调整和随机选择——来生成候选解。该算法适用于连续和离散变量,并在工程设计、供水网络优化和组合问题中得到广泛应用。

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来源

  1. Geem, Z. W., Kim, J. H., & Loganathan, G. V. (2001). A New Heuristic Optimization Algorithm: Harmony Search. Simulation, 76(2), 60–68. DOI: 10.1177/003754970107600201
  2. Mahdavi, M., Fesanghary, M., & Damangir, E. (2007). An Improved Harmony Search Algorithm for Solving Optimization Problems. Applied Mathematics and Computation, 188(2), 1567–1579. DOI: 10.1016/j.amc.2006.11.033

如何引用本页

ScholarGate. (2026, June 1). Harmony Search Algorithm. ScholarGate. https://scholargate.app/zh/optimization/harmony-search

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被引用于

ScholarGateHarmony Search (Harmony Search Algorithm). 于 2026-06-15 检索自 https://scholargate.app/zh/optimization/harmony-search · 数据集: https://doi.org/10.5281/zenodo.20539026