搜索资源列表
psowugong
- 运用粒子群算法解决电力系统无功优化问题,粒子群算法是一种可以解决有约束单目标最优化问题-Use the PSO to solve the reactive power optimization
outside-traning-bagpack-problem
- 背囊优化问题主要用于解决如何使野外训练中背囊内物品价值最大化的研究。我们引入背包问题的基本模型，具体结合两种实际情况，分别应用贪婪算法以及粒子群算法，得出了满足约束条件的满意解。-Backpack optimization problem to solve how to maximize the value of items in the backpack field training. We introduce the basic model of the knapsack problem,
PSOPF_localization
- 带惩罚函数的约束粒子群优化问题，在无线传感器网络节点定位中的应用-With the penalty function bound particle swarm optimization problems in wireless sensor network node localization
CFAPSO
- 引入约束因子的粒子群优化算法,通过引入约束因子，提高了标准粒子群的性能
Particle-Swarm-Optimization
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题；用基于模拟退火的粒子群优化算法求解无约束优化问题-Based on the cross with a genetic particle swarm optimization algorithm for solving unconstrained optimization problems using simulated annealing particle swarm optimization algorithm for solving unc
APSO
- 带约束因子的粒子群算法在电力系统无功优化中的应用-Constrained factor PSO in Reactive Power Optimization
GS_CH_MOPSO_Grey
- 多目标非线性约束的粒子群算法，采用灰度理论，混沌理论，动态惩罚函数，可针对任何复杂函数进行优化，效果很好-Nonlinear constrained multi-objective particle swarm algorithm, using gray theory, chaos theory, dynamic penalty function can be optimized for any complex function, the effect is very good
pso--constrained
- 这个粒子群算法使用matlab语言编写出来的，可以解决带约束的粒子群算法问题，可以很方便的把问题得到解决-the optimization of constraied pso matlab programmes
SecVibratPSO
- SecVibratPSO :用二阶振荡粒子群优化算法求解无约束优化问题-SecVibratPSO: optimization algorithm for solving unconstrained optimization problems with second-order oscillating particle swarm
CLSPSO
- CLSPSO：用混沌粒子群优化算法求解无约束优化问题-CLSPSO: Chaos particle swarm optimization algorithm for solving unconstrained optimization problems
BreedPSO
- BreedPSO：用基于交叉遗传的粒子群优化算法求解无约束优化问-BreedPSO: Cross with genetic-based particle swarm optimization algorithm for solving unconstrained optimization problem
minpso
- 无约束条件的粒子群优化算法代码，简单实用！-No constraints PSO algorithm code, simple and practical!
YC
- 在这个分支中，主要是对标准粒子群算法的惯性因子、收敛因子（约束因子）、“认知”部分的c1，“社会”部分的c2进行变化与调节，希望获得好的效果。-In this branch, mainly to the standard particle swarm algorithm of inertial factor, convergence factor (constraints), "cognitive" part of c1, "social" part of the c2 changes and
PSOBP502
- Parsopoulos等采用罚函数法，利用非固定多段映射函数对约束优化问题进行转化，再利用PSO算法求解转化后问题，仿真结果显示PSO算法相对遗传算法更具有优越性，但其罚函数的设计过于复杂，不利于求解；Hu等采用可行解保留政策处理约束，即一方面更新存储中所有粒子时仅保留可行解，另一方面在初始化阶段所有粒子均从可行解空间取值，然而初始可行解空间对于许多问题是很难确定的；Ray等提出了具有多层信息共享策略的粒子群原理来处理约束，根据约束矩阵采用多层Pareto排序机制来产生优良粒子，进而用一些优良的
PSO-cross
- 改进粒子群算法，带交叉因子，求解多维无约束优化问题，收敛性强。-PSO algorithm with cross operation.
CFAPSO)MATLAB
- 改进粒子群优化算法(CFAPSO)的MATLAB源程序,这个是引入约束因子的粒子群优化算法-Improved particle swarm optimization algorithm (CFAPSO) MATLAB source, this is the introduction of the constraint factors of particle swarm optimization algorithm particle swarm optimization algorithm
1
- .用遗传算法优化来求解无约束优化问题用粒子群算法优化来求解无约束优化问题-Using genetic algorithm optimization to solve unconstrained optimization problems with particle swarm optimization for solving unconstrained optimization problems
pso
- 本程序是本人在做项目中，编写的并亲测。该程序是利用粒子群算法求解无约束优化问题。对于约束优化问题，则可以根据具体问题作相应的修改，即可使用。-Particle Swarm Optimization is coded in Matlab.
microgrid_PSO
- 粒子群解决带约束的微网调度程序，能够解决微网优化问题-the particle swarm optimization for microgrid capacity scheduling
Particle-Swarm-Optimization
- 水库群调度的粒子群优化原理ppt介绍，包括原理目标函数约束等具体内容-Particle swarm optimization principle reservoir group scheduling ppt presentation, including the principle of objective function constraints specific content