搜索资源列表
yichuanfahua
- 用萤火虫算法来优化粒子群算法,使得性能更优。-Firefly algorithm to optimize particle swarm algorithm, better performance.
GSO
- GSO萤火虫群优化C语言代码。是一种启发式算法,灵感来自于萤火虫闪烁的行为。萤火虫的闪光,其主要目的是作为一个信号系统,以吸引其他的萤火虫。-GSO fireflies swarm optimization C language code. Is a heuristic algorithm, inspired by the fireflies blinking behavior. Fireflies flash, its main purpose is as a signaling system
firefly-algorithm
- 萤火虫算法作为一种新颖的仿生群智能优化算法.萤火虫算法在连续空间和离散空间优化的可行性和有效性,具有良好的应用前景.-firefly algorithm (FA) is developed as a novel bionic swarm intelligence optimization method. the new bioinspired algorithm has better feasibility and validity for continuous space optimizati
Firefly-Algorithm
- Pro. Yang Xinshe的萤火虫优化算法论文,详细描述了该算法的原理及过程,值得学习参考。-Pro. Yang Xinshe fireflies optimization algorithm paper, a detailed descr iption of the principles and process of the algorithm, it is worth learning reference.
yhc
- 萤火虫算法是一种新的智能优化算法,用于寻找最优值,解决各种工程问题。-Firefly algorithm is a new intelligent optimization algorithms for finding the optimal value, solve engineering problems.
FA-BP
- 萤火虫算法适用于各个方面的极值寻优,优化模型参数,提升模型精度。-Firefly algorithm is suitable for the optimization extreme of the various aspects of optimizing the model parameters, improve the model accuracy.
fa_ndim
- 萤火虫算法源代码,带入数据可以直接使用,优化不同模型,极值寻优。-The firefly algorithm source code, to the data can be used directly, different optimization model, the extremal optimization.
Firefly_test
- 一种新颖人工智能萤火虫群优化算法测试代码-Artificial intelligence swarm optimization algorithm test code
firefly algorithm
- 实现萤火虫算法,实现了一篇论文,主要是优化算法,用于寻找多目标时的最优值,效果比较理想,可以通过动图展示出来(Firefly algorithm to achieve)
FA
- 优化算法,基于萤火虫优化算法FA,主要程序为fa(Firefly optimization algorithm)