搜索资源列表
LnCPSO
- 这些是一些遗传算法和粒子算法程序，供大家参阅-These are some of the genetic algorithm and particle algorithm process for all see
LnCPSO
- 变学习因子粒子群算法，来自于《精通MATLAB最优化计算》-pso with variant learning factor
LnCPSO
- 同步变化的学习因子的粒子群算法，学习因子不为固定的常数-LnCPSO
RandWPSO_LinWPSO_LnCPSO
- 用MATLAB实现RandWPSO、LinWPSO、LnCPSO算法，程序没错误，可以直接运行，非常适合刚学PSO者-Implementation of RandWPSO, LinWPSO, LnCPSO algorithm with MATLAB, the program no error, can be directly run, very suitable for just learning PSO
LNCPSO
- 希望给辛苦科研的人带来一点点帮助--学习因子可以变化的PSO算法，不再是c1=c2=2，粒子进化更加灵活，下面是学习因子同步变化的pso，调用形式为[xm,fv]=LNCPSO(fitness,N,cmax,cmin,w,M,D)-People who want to work hard to bring a little bit of research to help- learning factor can vary PSO algorithm is no longer c1 = c2 =
PSO
- 各种粒子群或改进型粒子群算法 1）粒子群优化算法(求解无约束优化问题) 1>PSO(基本粒子群算法) 2>YSPSO(待压缩因子的粒子群算法) 3>LinWPSO(线性递减权重粒子群优化算法) 4>SAPSO(自适应权重粒子群优化算法) 5>RandWSPO(随机权重粒子群优化算法) 6>LnCPSO(同步变化的学习因子) 7>AsyLnCPSO(异步变化的学习因子)(算法还有bug) 8>SecPSO(用二阶粒
LnCPSO
- 用学习因子同步变化的粒子群优化算法求解无约束优化问题-Changes in synchronization with the learning factor PSO algorithm for solving constrained optimization problems
LnCPSO
- 针对粒子群算法在实际的应用中，也有一些其他的取值方法，常见的有同步变化和异步变化的学习因子。-Aimed at particle swarm optimization (pso) algorithm in practical application, there are also some other accessor methods, common changes have synchronous and asynchronous learning factors.
PSOs
- 13种粒子群优化算法 PSO,AsyLnCPSO,BreedPSO,CLSPSO,LinWPSO,LnCPSO,RandWPSO,SAPSO,SecPSO,SecVibratPSO,SelPSO,SimuAPSO,YSPSO-13 kind of particle swarm optimization algorithm
粒子群优化算法2
- 三种常见的粒子群优化算法，如linWPSO，LnCPSO，PSO(Three common particle swarm optimization algorithms, such as linWPSO, LnCPSO, and PSO)
13种PSO算法以及课件
- 各算法对应的问题如下： PSO 用基本粒子群算法求解无约束优化问题 YSPSO 用带压缩因子的粒子群算法求解无约束优化问题 LinWPSO 用线性递减权重粒子群优化算法求解无约束优化问题 SAPSO 用自适应权重粒子群优化算法求解无约束优化问题 RandWPSO 用随机权重粒子群优化算法求解无约束优化问题 LnCPSO 用学习因子同步变化的粒子群优化算法求解无约束优化问题 AsyLnCPSO 用学习因子异步变化的粒子群优化算法求解无约束优化问题