搜索资源列表
PSO
- 基本粒子群算法的matlab源程序，包含适应度函数和基本粒子群程序-The particle swarm algorithm matlab source code, including the fitness function and the particle swarm procedure
OptimAnalysis
- 离子群算法示例程序，用于电力系统负荷分配-The ion swarm algorithm sample program for power system load distribution
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 optimization starting from random
PSO
- 粒子群工具箱，可以利用粒子群算法解决电力系统相关的问题-Particle swarm toolbox, can make use of the particle swarm algorithm for solving the problems related to power system
Reactive-Power-and-fish-algorithm
- 本文基于matlab开发环境，利用鱼群算法对30节点的电网进行无功优化-Reactive Power Optimization Based on fish swarm algorithm in 30 node grid
ndCVP-HGPSO
- Its a new optimization algorithm particle swarm optimization with dynamic function analysis. -Its a new optimization algorithm particle swarm optimization with dynamic function analysis.
PSO-calculation
- 利用改进粒子群算法，求解电力系统最优潮流问题，具有较快的收敛速度和精度，并有文献说明。-The improved particle swarm algorithm to solve the optimal power flow problem, has a faster convergence speed and accuracy, and described in the literature.