搜索资源列表
Robotswarm
- 用差分方法,进行机器人路径规划仿真的程序-Robot swarm simulation in discrete time. Builds on simulation of robot path planning problem for obstacle avoidance problem
outclpso
- 用于分析带约束问题的输出结果,加上约束的粒子群算法功能有很大改善-Used to analyze the problem with constraint output, coupled with constrained particle swarm optimization function has greatly improved
7941925pos
- 粒子群的优化算法，不仅可以方便地解决无约束优化问题，也可以方便的解决有约束的非线性优化问题。-Particle Swarm Optimization algorithm, not only can easily solve the unconstrained optimization problem can also be convenient to solve constrained nonlinear optimization problem.
cpso
- 粒子群优化算法容易理解，实现简单，优化速度快，收敛性强。常用于解决种类最优化问题。-Particle swarm optimization algorithm easy to understand, easy to achieve, and optimize the speed and strong convergence. Types commonly used in the optimization problem to solve.
DPSO
- 综合的微粒群智能分类算法，考虑了不同的学习因子，可根据不同的数据特点进行选择。-Particle Swarm integrated intelligent classification algorithms, taking into account different learning factor, according to the characteristics of different data selection.
particle_swarm_optimization_approach_for_product_d
- A novel particle swarm optimization approach for product design and manufacturing
jumping_frog
- a new swarm intelligence optimization method for discrete problems.
xia
- 人工鱼群算法是一种寄予动物行为的自治体寻优模式。-Artificial fish-swarm algorithm is a kind of animal behavior have great self-governing body optimization model.
Cross-factorwithparticleswarmoptimizationalgorithm
- Cross-factor with particle swarm optimization algorithm matlab source
ga
- 粒子群算法与遗传算法的结合研究，值得参考！-Particle Swarm Optimization and Genetic Algorithm for the combination of research
jheatbugs-2.1
- swarm 基于主体仿真程序，帮助理解Swarm的结构功能-swarm-based simulation program to help understand the structure and function Swarm
pso2
- 基于改进的粒子群算法，可以用来求解函数优化问题-Based on Improved Particle Swarm algorithm, can be used to solve the function optimization problem
BINARYPSO
- binary pso for particle swarm optimisation
importat_pso
- particle swarm optimisation document pdf
pso
- Particle Swarm Optimization
swarm
- 使用Scilab编写的粒子群算法，例子比较简单，无混沌搜索-Scilab prepared using particle swarm optimization, for example, relatively simple, non-chaotic search
selest
- 关于一些算法中如何生成新成员的选择方法，粒子群算法，遗传算法等算法可以用。-How about some algorithm to generate a new member of the selection method, particle swarm optimization, genetic algorithms and other algorithms can be used.
PSO
- 很实用的群优化智能算法，计算粒子群算法的源代码，所需优化的目标函数命名为fitness即可。-a partical swarm algorithm
swarm
- swarm+在jbuilder相连中遇到问题解决办法-swarm+jbuilder
FNN_PSO
- This M-file is about using Particle Swarm Algorithm (PSO) to train a Fuzzy Neural Network.