Welcome![Sign In][Sign Up]
Location:
Search - pso

Search list

[Documentspso

Description: 关于人员排班的粒子群算法程序,包含班次、人员、技能和时段,最后确定每个班次每种技能人员的数量。-This is about staff scheduling,which contain classes、staff、technology and time.In the last,I will get the quantity of staff who has one technology.
Platform: | Size: 1024 | Author: caicai | Hits:

[OtherAI-PSO-0.86.tar

Description: Pso algoritmic, with AI
Platform: | Size: 296960 | Author: alex | Hits:

[Mathimatics-Numerical algorithmsBG-PSO

Description: Bacterial Foraging Orientec by Particle swarm optimization_国外人写的细菌粒子群算法,matlab实现求函数优化-Bacterial Foraging Orientec by Particle swarm optimization
Platform: | Size: 15360 | Author: xioan hua | Hits:

[Mathimatics-Numerical algorithmsPSO

Description: 本程序是原始粒子群算法,对一个简单函数的优化,可用来与其他算法功能进行比较。-This procedure is the original particle swarm optimization, a simple function of the optimization function can be used to compare with other algorithms.
Platform: | Size: 2048 | Author: liulei | Hits:

[Mathimatics-Numerical algorithmsGPSO4tsp1

Description: pso解决tsp问题 matlab源码 可做为学习参考-pso to solve the problem tsp matlab source code can be used as study and reference
Platform: | Size: 936960 | Author: ycc | Hits:

[AI-NN-PRpso-bp

Description: 这是一个采用粒子群算法优化bp神经网络权值的MATLAB程序-This is a particle swarm optimization using neural network weights bp MATLAB program
Platform: | Size: 2048 | Author: chengfei | Hits:

[matlabTSPPSO

Description: 用该进的粒子群优化算法来解决旅行商问题,即TSP问题(Traveling Salesman Problem)-Using the advanced PSO algorithm to solve TSP(Traveling Salesman Problem)
Platform: | Size: 2048 | Author: ambrum | Hits:

[MPIPsoConstrained_ELD

Description: PSO解决40个机组优化问题,适合初学的同学-PSO solve 40 units optimization problems
Platform: | Size: 3072 | Author: xianglongyang | Hits:

[Mathimatics-Numerical algorithmsmutipleobjectpso

Description: pso解决两目标函数极值问题,适合初学多目标的同学-Pso solve two goals for beginners, the function extreme problem multi-objective classmates
Platform: | Size: 3072 | Author: xianglongyang | Hits:

[OtherPSOThesis

Description: PSO thesis useful doc
Platform: | Size: 6018048 | Author: dmrprasad | Hits:

[matlabPSOGA

Description: PSO和GA的结合算法,对PSO中效果较差的粒子进行交叉和变异操作。-The combination of PSO and GA algorithm, PSO particles in the less effective cross and mutation.
Platform: | Size: 2048 | Author: bread | Hits:

[matlabpso

Description:
Platform: | Size: 1024 | Author: bread | Hits:

[Otherpso

Description: this is a implementation for PSO Algorithm!
Platform: | Size: 244736 | Author: afrouz | Hits:

[AI-NN-PRpso2

Description: an implemetation of PSO to minimize 4 function developed in python
Platform: | Size: 1024 | Author: André | Hits:

[Algorithmkalmanswarm

Description: This code expains kalmanswarm optimization method.All files have been written on matlab 2007a. This method has been explianed with various benchmark functions. This optimization method can be directly compared with other unconstrained optimization method like GA or pso for effieciency and speed. This method is much faster as compared to genetic algorithim.
Platform: | Size: 5120 | Author: missed2010 | Hits:

[AI-NN-PRbayesianswarm

Description: This code expains bayesian particle swarm optimization method.All files have been written on matlab 2007a. This method has been explianed with various benchmark functions. This optimization method can be directly compared with other unconstrained optimization method like GA or pso for effieciency and speed.
Platform: | Size: 4096 | Author: missed2010 | Hits:

[AI-NN-PRpso_matlab

Description: PSO算法,即粒子群优化算法Matlab程序,附详细说明-PSO Particle swarm optimization algorithm
Platform: | Size: 2048 | Author: 张衡 | Hits:

[Mathimatics-Numerical algorithmsPSO

Description: 粒子群优化算法,PSO ,此优化算法是用C++程序来实现,此保函整个程序,并附详细说明-PSO Particle swarm optimization algorithm C++
Platform: | Size: 15360 | Author: 张衡 | Hits:

[AlgorithmBinaryParticleswarmoptimization

Description: binary pso algorithm
Platform: | Size: 438272 | Author: rozita | Hits:

[matlabPIDTunningwithPSO

Description: PID Tunning with PSO
Platform: | Size: 9216 | Author: rozita | Hits:
« 1 2 ... 42 43 44 45 46 4748 49 50 »

CodeBus www.codebus.net