Process / pipeline
萤火虫算法——通过生物发光进行的群体优化
萤火虫算法(FA)由杨新社于2008年提出,并于2010年正式发表,是一种受自然启发的群体元启发式算法,它模拟了萤火虫的生物发光吸引行为。每个候选解都是一只萤火虫,其亮度代表其目标函数值;较暗的萤火虫以随距离衰减的吸引力向较亮的萤火虫移动,从而在没有梯度信息的情况下将群体驱动向最优解。
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来源
- Yang, X.S. (2010). Firefly Algorithm, Stochastic Test Functions and Design Optimisation. International Journal of Bio-Inspired Computation, 2(2), 78-84. DOI: 10.1504/IJBIC.2010.032124 ↗
- Yang, X.S. (2014). Nature-Inspired Optimization Algorithms. Elsevier. ISBN: 978-0-12-416743-8
如何引用本页
ScholarGate. (2026, June 1). Firefly Algorithm (FA). ScholarGate. https://scholargate.app/zh/optimization/firefly-algorithm
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