搜索资源列表
LinWPSO
- 权重改进的粒子群算法，来自于《精通MATLAB最优化计算》-pso with improved weighted factor
LinWPSO
- 权重改进的粒子群算法（线性递减权重法），让惯性权重从最大值线性减小到最小值-Weights to improve particle swarm optimization (linear decreasing weight method), so that inertia weight decreases linearly from maximum to minimum
LinWPSO
- matlab 最优化算法 matlab 最优化算法 -matlab zuiyouhuasuanf a
LinWPSO
- 线性递减权重粒子群优化算法是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。 -Linear decreasing weight particle swarm opt
LinWPSO
- 改进的粒子群算法在matlab中的应用，程序简单-Improved particle swarm algorithm in matlab, simple procedures
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
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
LinWPSO
- 对典型的粒子群算法的改进，是一类权重改进的粒子群算法，利用新型递减权重法来更新粒子速度和位置，用来解决静态单目标优化问题-It is the improved particle swarm optimization algorithm. It introduced a kind method named new decreasing weight to update the position and velocity of the pa
LinWPSO
- 用线性递减权重粒子群优化算法求解无约束优化问题,希望对大家有帮助！-With a linear gradient weight of particle swarm optimization algorithm for solving unconstrained optimization problems, I hope it can help you!
LinWPSO
- 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
LinWPSO
- 线性递减权重法的粒子群算法，针对基本粒子群算法容易早熟以及算法后期易在全局最优解附近产生振荡现象，可以采用线性变化的权重。-A linear weighting method of particle swarm algorithm, in view of the basic particle swarm optimization (pso) algorithm is easy to premature algorithm and eas
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)
LinWPSO
- 权重改进的粒子群算法（线性递减权重法），让惯性权重从最大值线性减小到最小值(Weights to improve particle swarm optimization (linear decreasing weight method), so that inertia weight decreases linearly from maximum to minimum)
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