搜索资源列表
gso
- 一种全新的智能算法----萤火虫群算法。该算法主要用于求解函数.-A new algorithm---- fireflies swarm intelligence. The algorithm used to solve function.
GSOaHGSO(matlab)
- GSO算法及其改进，其中HGSO是通过与和声搜索算法结合而成，主要用于结构的截面优化、几何优化、动力优化、拓扑优化等，具有收敛速度快，收敛结果好的优点，且其改进算法能摆脱局部最优的缺陷。-GSO algorithm and its improvements, HGSO is through a combination of harmony search algorithm, mainly used to optimize the structure of the cross section, g
GSO
- 通过此代码实现萤火虫算法仿真，改变函数，即可实现不同的函数结果。-This code implements the firefly algorithm simulation, change the function, you can achieve different function results.
GSO2
- Abstract：An improved GSO (Group Search Optimizer)Algorithm with predictive model is introduced in this paper． MATLAB implementation of the improved Group Search Optimizer Al gorithm is described in detail．This paper introduced the concept of fu
GSO-CODE
- 萤火虫算法的基本源代码，简单易懂，适合新人学习。-GSO simple scource codes，easy for learners。
GSO-matlab
- 萤火虫算法的matlab程序，对初学者理解萤火虫算法有很大的帮助。-Firefly algorithm matlab program, the algorithm is of great help for beginners to understand fireflies.
base-GSO
- 自己调试的GSO程序，简单可运行，适合初学者参考。-The glowworm swarm optimization (GSO) is a swarm intelligence optimization algorithm developed based on the behaviour of glowworms (also known as fireflies or lightning bugs). The behaviour pattern of glowworms which is used
Wkmeans2D
- matlab GSO 经典的标准的群优化算法-matlab GSO
topomation-based-on-GSO-
- 基于GSO的拓扑优化，有优化结果 ，效果非常好。-topology optimization based on GSO in MATLAB.
yinghuochong
- 算法说明：荧火虫算法(GSO:Glowworm swarm optimisation:a new method for optimising mutlti-modal functions) 算法特征:只适用于求极大值(极小值可转化为求极大值) -Algorithm Descr iption: Firefly algorithm (GSO: Glowworm swarm optimisation: a new method for optimising mutlti-modal funct
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
GSO源代码
- 这是一分萤火虫算法，该算法只适用于求极大值(极小值可转化为求极大值) ！
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
GSO-TSP
- 用matlab 编写GSO算法，解决TSP问题-matlab GSO TSP
GSO_levy
- GSO的一个改进版本，可以加快收敛速度和精度，不过代码效率不是很高，可以作为参考-An improved version of GSO, can accelerate the convergence speed and accuracy, but the code efficiency is not high, can be used as a referen
GSO
- 一个基于matlab的GSO(群搜索)寻优算法例程，通过修改适应度函数可以完成不同的寻优任务，可用于开发改进算法或与其他智能优化算法进行对比。-A matlab-based GSO (group search) algorithm optimization routines, by modifying the fitness function optimization can perform different tasks that can be used to develop improved
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
粒子群优化算法以及改进的PSO算法代码matlab
- 粒子群算法及其改进，在原有粒子群算法基础上进行改进，增加免疫算法，使其尽快跳出早熟，收敛更快，结果更优！(Particle swarm optimization (PSO) and its improvement are improved on the basis of the existing particle swarm algorithm, and the immune algorithm is added to make it jump out of premature, faster
GSO
- 萤火虫算法（GSO），群智能优化算法，matlab文件
GSO及其改进算法代码
- 群搜索算法(GSO)及其改进版本的MATLAB代码实现(Group Search Algorithms (GSO) and Implementation of Its Improved Version of MATLAB Code)