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[assembly language] PSO DL : 0: 基本粒子群算法，用于计算函数最小值，其中适应度函数fitness可以自定。-PSO function，which used to calculate the minimum value
Date : 2025-12-26 Size : 47kb User : 吴正阳
[assembly language] psoMATLAB DL : 0: 参数设置 w=0.9 权值将影响PSO 的全局与局部搜优能力，值较大，全局搜优能力强，局部搜优能力弱反之，则局部搜优能力增强，而全局搜优能力减弱。 c1=0.1 加速度，影响收敛速度 c2=0.1 dim=6 6维，表示企业数量 swarmsize=100 粒子群规模，表示有100个解的空间 maxiter=200 最大循环次数，影响时间 minfit=0.001 最小适应值 vmax=0.01 vmin=-0.01 ub=[0.2,0.2,0.2,0.2,0.2,0.2] 解向量的最大限制 lb=[0.01,0.01,0.01,0.01,0.01,0.01] 解向量的最小限制- Parameter settings w = 0.9 weight PSO will affect global and local search optimization capability, greater value, and strong global search optimization capability, local search optimization weak on the contrary, the ability to enhance the local search optimization, and global search optimization diminished capacity. c1 = 0.1 acceleration affects the convergence speed c2 = 0.1 dim = 6 6-dimensional, indicating the number of enterprises swarmsize = 100 particle population size, it indicates there is room for 100 Solutions maxiter = 200 maximum number of iterations, the impact time minfit = 0.001 minimum fitness vmax = 0.01 vmin =-0.01 ub = [0.2,0.2,0.2,0.2,0.2,0.2] the maximum limit solution vectors lb = [0.01,0.01,0.01,0.01,0.01,0.01] the minimum limit solution vectors
Date : 2025-12-26 Size : 2kb User : 陈旭彬
[assembly language] pso-vmd DL : 5: 提供基于粒子群算法优化的变分模态分解算法，适应度函数选择的是模糊熵(This paper presents a variational mode decomposition algorithm based on particle swarm optimization, and the selection of fitness function is fuzzy entropy)
Date : 2025-12-26 Size : 2.29mb User : contribute