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遗传算法 — 进化优化

遗传算法(GA)是由 John Henry Holland (1975) 引入的一种基于种群的元启发式优化方法,它模仿自然选择的原理。它维护一个候选解的种群,并通过选择、交叉和变异算子迭代地改进它们,这使得它在经典基于梯度的方​​法失效的不连续、非凸和多模态搜索空间中尤其强大。

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来源

  1. Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press. link
  2. Deb, K. (2001). Multi-Objective Optimization using Evolutionary Algorithms. Wiley. ISBN: 9780471873396

如何引用本页

ScholarGate. (2026, June 1). Genetic Algorithm — Evolutionary Optimization. ScholarGate. https://scholargate.app/zh/optimization/genetic-algorithm

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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被引用于

ScholarGateGenetic Algorithm (Genetic Algorithm — Evolutionary Optimization). 于 2026-06-15 检索自 https://scholargate.app/zh/optimization/genetic-algorithm · 数据集: https://doi.org/10.5281/zenodo.20539026