搜索资源列表
GSO_package
- 使用MATLAB实现的人工萤火虫群优化算法解决背包问题-Using MATLAB artificial fireflies swarm optimization algorithm to solve the knapsack problem
yinghuochong
- 萤火虫群算法代码,功能优化,设计优化,数值计算应用-Fireflies swarm algorithm code, function optimization, design optimization, numerical computing applications
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
GSO
- 萤火虫算法，一种新颖的群优化算法，目前比较流行的有两种，一种是FA，一种是GSO，本代码试GSO的实现-glowworm swarm optimization
GGSO
- 高斯变异的萤火虫群优化算法，实现简单，含有6个测试函数，运行方便。-Gaussian variation glowworm swarm optimization algorithm, simple, containing six test function, easy operation.
GS-GSO
- 采用高斯变异改进基本萤火虫群优化算法，得到很好的效果-Gaussian variation improve basic fireflies swarm optimization algorithm to get good results
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
- 人工萤火虫群优化算法 该算法主要用于求解多峰函数-Artificial fireflies swarm optimization algorithm is mainly used to solve the multimodal function
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 essence is to use the firefly
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 materials.
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
萤火虫programing
- 萤火虫优化算法，可以扩展应用到各种不同的优化问题。(The firefly optimization algorithm can be extended to a variety of optimization problems.)
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)
GSO
- 萤火虫算法（GSO），群智能优化算法，matlab文件
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.)
萤火虫分布式电源优化
- 采用萤火虫算法对分布式电源进行优化，采用33节点系统(Firefly algorithm is used to optimize the distributed power supply)