搜索资源列表
PSO
- 关于粒子群算法的各种应用及当前研究前沿热点。-With regard to various applications of particle swarm optimization algorithm and the frontier of current research hotspot.
power-system-problem-based-on-PSO
- 利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。-The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization
含边界变异的粒子群算法
- 含边界变异的粒子群算法 PDF文件-border variation with the PSO algorithm PDF files!
PSO
- 这是粒子群优化算法的实现，求解多模态函数非常使用-This is the Particle Swarm Optimization algorithm to solve multi-modal function is the use of
pso-kekao
- 利用MATLAB编写，粒子群算法求解可靠性优化问题-Prepared using MATLAB, particle swarm algorithm for reliability optimization problems
PSO
- 粒子群优化算法，主要是函数优化问题。很使用-Particle Swarm Optimization, mainly function optimization problems. Is the use of
PSO
- 一个求解TSP问题的粒子群算法，用matlab仿真实现。-A solution of TSP problem PSO with matlab simulation.
pso
- 基本的粒子群算法十分清晰 便于理解 适合初学者学习应用-The basic particle swarm algorithm is very clear and easy to understand for beginners to learn the application of
PSO
- PSO粒子群算法，求解局部或者全局优化问题-PSO
PSO
- 粒子群算法在三维空间机器人路径规划中的应用-PSO at three-dimensional space robot path planning
pso
- 运用粒子群和改进粒子群算法求解典型函数 具有可视化的功能-And improve the use of particle swarm particle swarm algorithm with a typical function of visual function
PSO
- 利用粒子群算法，计算函数的最优化问题。 本程序有很强的适用性。在理论与实际问题的优化上有一定的推广价值-The use of particle swarm optimization, the calculation function of the optimization problem. This procedure has a strong application. Theory and practical problems in the optimization of the prom
pso
- 用VC++写的粒子群算法,效率高，结果较精确！-pso algorithm is completed by using VC++
PSOHMM11
- pso粒子群算法与隐马尔科夫模型的结合，用粒子群优化算法度模型参数进行优化，用于度序列观察。-pso particle swarm algorithm with a combination of hidden Markov model, using particle swarm optimization algorithm to optimize the degree of model parameters for the degree of sequence observations.
LDPC-pso
- 度序列优化时LDPC码设计的关键一步。本程序利用粒子群算法优化LDPC码度序列，速度较快。压缩包包括程序，优化结果，与比较文献。-Optimizing the degree sequence of a key step in designing LDPC codes. This process utilizes particle swarm optimization of LDPC code degree sequence, faster. Compressed package includes
pso
- 程序说明： jblzq.m为基本粒子群程序求函数的最大值 lzq2.m是惯性权重法求函数的最大值 lzq3.m是惯性权重法求函数最小值。当然也可以用lzq2.m实现，在函数前加个负号 lzq4.m是收敛因子法求函数最小值 lzq5.m是带变异的惯性权重法求最大值，变异条件比较简单，变异次数多。还有一种变异是利用各粒的最优位置与全局最优位置的差的平方和，再开根号的值小于某一值最为收敛条件，将在我的报告中叙述 lzq6.m是分层粒子群优化算法，即利用两个粒子群同时进行搜索，一
pso
- 粒子群算法，通用版,大家拿去根据自己的问题进行适当的修改即可。-pso
pso-caj
- 粒子群算法文献，很多的，比较全caj文件-pso algorithm papers in caj
PSO-PVC
- 粒子群算法在某化工厂聚化车间生产调度中的应用，效果很好，实现了动态调度，与数据库连接。-Particle swarm optimization in a chemical polymerization shop production scheduling applications, good results and achieve dynamic scheduling, and database connection.
pso
- pso(粒子群算法）优化神经网络 MATLAB的m 文件