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 pu
zy1
- 萤火虫算法在分布式电源优化配置中应用 全部 很好的程序 只需换换节点数目就可以-Firefly algorithm optimization in distributed power configuration in all a very good application program can only change of the number of nodes
fa_ndim
- 萤火虫算法，哈佛大学教授编写，用于解决高维的无约束函数优化问题-Firefly algorithm, a professor at Harvard University to prepare for solving high-dimensional unconstrained function optimization problem
Firefly-Algorithm
- 这是用Matlab编写的萤火虫算法。这是一种群体智能算法，在优化中有广泛的应用。-It is used Matlab prepared Firefly algorithm. This is a swarm intelligence algorithm, widely used in optimization.
firefly_simple
- 利用萤火虫算法对微网中各分布式电源进行优化调度，适合电力规划人员在规划中的应用-Firefly algorithm utilizing various micro network of distributed power optimized scheduling application for the power planners in planning
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_algorithm
- 萤火虫算法（Firefly Algorithm）是一种群智能优化算法，它是英国的学者在2008年提出的，其本质是利用萤火虫在觅食和信息交汇中的一种仿生算法。- Firefly Algorithm (Firefly Algorithm) is a swarm intelligence optimization algorithm, which is a British scholar proposed in 2008, and its
Xin-She-Yang--Algorithms
- 新兴元启发式优化方法 杨新设 模拟退火 蝙蝠 萤火虫 算法-New meta-heuristic optimization methods Yang new simulated annealing algorithm bat firefly
2016.09.09Firefly
- 以优化SVM算法的参数c和g为例，对FA（萤火虫算法）MATLAB源码进行了逐行中文注解。是很好的学习材料。- SVM algorithm to optimize the parameters c and g as an example, FA (firefly algorithm) MATLAB source was progressive Chinese annotations. It is a good learning ma
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
tj
- 用于优化算法的萤火虫算法，整理和很多资料，很有用的-Optimization algorithm for fireflies, organize and a lot of information, very useful
GSO
- 该萤火虫算法（GSO）适用于求最值问题，同时也可与神经网络相结合进行优化问题-The firefly algorithm (GSO) applicable to most value problem, but also can be combined with the optimization of the neural network
Fireflies-algorithm-on-chaos-search
- 采用混沌搜索技术对萤火虫算法优化研究，对理解萤火虫算法很有用-optimization study of fireflies algorithm on chaos search technology
study-on-GSO-algorithm
- 基于萤火虫算法优化的BP神经网络算法研究，适合初学者-study on glowworm swarm optimized BP Neural network algorithm
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)
2016.09.05CS_PSO
- 以优化SVM算法的参数c和g为例，对FA（萤火虫算法）MATLAB源码进行了逐行中文注解。(The firefly algorithm is based on the development of the bioluminescent biological characteristics of the natural world and is also based on the stochastic optimization algor
萤火虫算法
- 原始fa算法程序-演化算法，可用于优化计算，适用于连续变量(firefly algorithm for matlab)
FA
- 以优化SVM参数c和g为例，对FA算法MATLAB源码进行了详细中文注解，是很好的学习材料(Taking the optimization of SVM parameters c and G as examples, the source code of FA algorithm MATLAB is annotated in detail in Chinese, which is a good learning material.)