Process / pipelineMetaheuristics
模因算法
模因算法（MA）是一种基于种群的元启发式算法，它将进化算法的全局探索能力与个体学习过程的局部开发能力相结合。模因算法由Pablo Moscato于1989年在加州理工学院提出，借鉴了理查德·道金斯（Richard Dawkins）的“模因”（meme）——文化传播单位——的概念，来模拟解决方案不仅可以通过交叉和变异，还可以通过每一代中个体的精炼来改进的想法。
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来源
- Moscato, P. (1989). On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms. Caltech Concurrent Computation Program Report 826. link ↗
- Neri, F., & Cotta, C. (2012). Memetic algorithms and memetic computing optimization: A literature review. Swarm and Evolutionary Computation, 2, 1–14. DOI: 10.1016/j.swevo.2011.11.003 ↗
如何引用本页
ScholarGate. (2026, June 2). Memetic Algorithms (Hybrid Evolutionary + Local Search). ScholarGate. https://scholargate.app/zh/optimization/memetic-algorithm
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