搜索资源列表
粒子群算法优化RBF网络
- 粒子群算法优化RBF网络的matab程序(Particle swarm optimization RBF network MATAB program)
demo5
- 基于粒子群算法的多目标搜索算法：多种求解多目标优化问题的方法(Multi objective search algorithm based on Particle Swarm Optimization: a variety of methods for solving multi-objective optimization problems)
13中粒子群优化算法
- 13种典型优化pso算法，解决单目标pso优化问题(Thirteen typical optimized pso algorithms)
chapter14基于粒子群算法的PID控制器优化设计
- chapter15基于混合粒子群算法的TSP搜索算法(A TSP Search Algorithm Based on Hybrid Particle Swarm Optimization)
interval optimization
- 区间优化程序；两层嵌套；粒子群算法优化求解器(interval optimization)
PSO
- 运用的粒子群算法解决TSP问题，迭代次数1000次，效果较好(The use of particle swarm algorithm to solve the TSP problem, the number of iterations 1000 times better)
sample1
- 基于MATLAB平台开发的，用于数学上优化的粒子群算法(Particle swarm optimization algorithm for optimization)
sample3
- 基于MATLAB平台开发的，用于数值计算和优化的粒子群算法(Particle swarm optimization algorithm for optimization)
sample4
- 基于MATLAB平台开发的，用于数值计算和优化的通用型粒子群算法(Particle swarm optimization algorithm for optimization)
源程序
- 基于粒子群算法的PID控制器优化设计，包括源码(Optimization Design of PID Controller Based on Particle Swarm Optimization)
MOPSO
- 本人基于论文理解Matlab实现的用于多目标优化的粒子群优化算法MOPSO(Particle swarm optimization algorithm.)
107215814PSO-optimization
- 粒子群算法的优化,有利于学习,详细注释.......(Optimization of particle swarm optimization)
pso
- 单目标优化粒子群算法pso算法的实际应用，可以跑通(The practical application of PSO algorithm can run through)
PSOt
- 粒子群算法工具箱，大多用于电网或者潮流计算的优化(Particle swarm optimization toolbox for optimization algorithm)
MATLAB source code
- 基于粒子群算法的无功优化MATLAB源代码，IEEE30节点(MATLAB source code for reactive power optimization based on particle swarm optimization (PSO), IEEE30 node)
pos0
- 粒子群算法的简单实例，简单的一维函数优化实例。(A simple example of particle swarm optimization, simple one-dimensional function optimization example)
pos1
- 粒子群算法的简单实现，二维函数优化的实例，并做了动态演化图。(A simple example of particle swarm optimization, simple one-dimensional function optimization example)
mopso-better
- 代码实现多目标粒子群算法，多目标粒子群算法是基于parato原则进行的目标优化实现的算法。而此文件就是多此算法的代码MATLAB的一种实现(Multiobjective particle swarm optimization (PSO) algorithm)
基于罚函数的粒子群算法
- 基于罚函数法的粒子群算法，处理优化调度问题(Particle swarm optimization based on penalty function method to deal with optimal scheduling problem)
main
- 采用多目标粒子群算法求解多目标背包问题 问题：假设存在五类物品，每类物品又包含四种具体物品，要求从五类物品中分别选择一种放入背包，使得背包总价值最大，总体积最小，总质量不超过92kg(The problem is solved by multi objective particle swarm optimization algorithm, multi-objective knapsack problem: suppose there are five categories of goods,