搜索资源列表
cross-pso.rar
- 带交叉因子的粒子群优化算法，有关粒子群算法的改进并举例说明,Cross-factor with particle swarm optimization algorithm, the particle swarm algorithm and illustrates
psoprogress.rar
- ％程序名称：求解约束优化问题的改进粒子群优化算法 ％程序功能：求解带各种约束条件的优化问题 ％输入条件：各种初始条件，以及设定参数 ％输出数值：最优解位置以及函数极小值 , Program name: for solving constrained optimization problems to improve particle swarm optimization algorithm program features: solving with a variety of constr
GAPSO.rar
- 遗传粒子群的最新改进算法，随着维度增加效果更好,Genetic Particle Swarm latest improved algorithm, with the increasing dimensions better
pso1hunhe
- 粒子群算法，基于粒子运动方向变异、两个学习因子分别变大变小，惯性权值非线性减小的改进-PSO, the direction of variation of the improvement
GA-PSOPSO
- (粒子群算法)作为添加算子改进GA (遗传算法),供大家学习-(PSO), as the operator to add to improve the GA (genetic algorithm) for them to learn
pso3
- 带交叉因子的改进粒子群优化算法，算法用于示解多维无约束优化问题，收敛性强。-With cross-factor improvement of particle swarm optimization algorithm for multi-dimensional solution that unconstrained optimization problem, convergence is strong.
PSO
- 基于粒子群算法的冷轧轧机程序，是燕山大学论文中的程序，已经改进-Particle Swarm Optimization Based on the cold-rolling process
psoandimprovedpso
- 基本粒子群优化算法和改进粒子群优化算法程序，包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，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，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，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题，用混沌粒子群优化算法求解无约束优化问题，
25811214ziji_2
- 粒子群算法，改进粒子群，希望大家喜欢-Particle swarm optimization, improved particle swarm I hope everyone likes ........
SAPSO
- 权重改进粒子群算法中的自适应权重法，平衡了PSO算法的全局探索能力和局部改良能力-Weight improved particle swarm algorithm in the adaptive weighting method to balance the global exploration of the PSO algorithm is improved capacity and capacity of local
Swarm_Optimization_Algorithm_with_C
- 改进的粒子群算法--自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，用C实现-Improved particle swarm- adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergence, with the C implementation
PSO_test
- 改进的粒子群优化算法，注释详细，希望大家会喜欢。-Improved particle swarm optimization, detailed comments, hope you enjoy.
TSP-based-on-improved-pso
- 基于对粒子群优化算法原理的分析，实现了一种基于TSP的改进的粒子群优化算法：求解TSP的混合粒子群算法，结合遗传算法、蚁群算法和模拟退火算法的思想来解决TSP问题。-Particle swarm optimization based on the principle of the analysis, implemented based on TSP, improved particle swarm optimization algorithm: solving the TSP hybrid pa
basepso
- 基于两个学习因子分时段学习的改进粒子群算法。-Factor scores based on two learning sessions to learn to improve particle swarm algorithm.
function
- 求解函数优化的一种改进的粒子群算法，带有详细注释-a pso algorithm for function optimazaion
hybrid_PSO
- 一种基于混合策略的改进粒子群优化算法，包括执行程序hpso.m和参数设定hPSOoptions.m两个源文件。代码清晰，易于改进实现。结果显示有效的提高-Hybrid strategy based on improved particle swarm optimization, including the implementation of the program and parameter set hPSOoptions.m hpso.m two source files. Code is c
chapter30
- 粒子群算法的源代码，更新公式的改进，包含中文注释(Particle swarm algorithm source code, update formula improvements)
改进pso可以求解城市数量大的旅行商问题
- 城市数量最大的改进的粒子群算法求解旅行商问题(Particle swarm optimization for traveling salesman problem)
改进粒子群算法的PID控制器优化设计
- 基本的pid控制器算法以及simulink仿真模型，可以在线更改仿真参数。(Simulation optimization)
遗传粒子群优化算法-GAPSO
- 遗传算法改进粒子群算法及混沌粒子群算法的源码(Improved genetic algorithm for particle swarm optimization and chaotic particle swarm optimization)