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模拟退火 — 概率优化

模拟退火是一种概率性局部搜索元启发式算法,由 Kirkpatrick、Gelatt 和 Vecchi 于 1983 年提出。它模拟了冶金学中的物理退火过程——将材料加热然后缓慢冷却以达到低能量晶体状态——并利用这种类比来逃离组合优化和连续优化问题中的局部最优解。

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来源

  1. Kirkpatrick, S., Gelatt, C.D. & Vecchi, M.P. (1983). Optimization by Simulated Annealing. Science, 220(4598), 671-680. DOI: 10.1126/science.220.4598.671
  2. van Laarhoven, P.J.M. & Aarts, E.H.L. (1987). Simulated Annealing: Theory and Applications. Springer. ISBN: 9789027725431

如何引用本页

ScholarGate. (2026, June 1). Simulated Annealing. ScholarGate. https://scholargate.app/zh/optimization/simulated-annealing

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被引用于

ScholarGateSimulated Annealing (Simulated Annealing). 于 2026-06-15 检索自 https://scholargate.app/zh/optimization/simulated-annealing · 数据集: https://doi.org/10.5281/zenodo.20539026