搜索资源列表
nsga2_Matlab_xixilee
- 对多目标优化算法NSGA-II算法的改进，该算法进化代数少，但是获得的最终效果特别好！-pair of multi-objective optimization algorithm NSGA-II algorithm, the algorithm evolutionary less algebra, However, the ultimate effect was particularly good!
GAPSO
- 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
deps
- 用java实现的改进粒子群算法，含详细使用说明-Java achieved by improving the particle swarm optimization, including detailed instructions
3970982pso
- 标准粒子群算法，改进的粒子群算法，希望大家能用得上-The standard particle swarm algorithm, the improved particle swarm algorithm, the lingua franca of hope that we can
PSO_BP
- 基于粒子群和BP神经网络的混合优化策略算法。将改进PSO算法与BP神经网络结合，用PSO算法取代梯度下降法来优化神经网络的连接权值和阈值。程序简单易懂。-Based on Particle Swarm and the BP neural network algorithm for hybrid optimization strategy. Will improve the PSO algorithm and BP neural netw
pid
- 基于改进粒子群算法整定的PID网络流量控制研究-Particle swarm optimization based on improved PID tuning of network traffic control
C_PS_matlab
- 粒子群聚类算法：改进原有PSO算法，加速收敛迭代达到全局最优点-Particle clustering algorithms: the original PSO algorithm to improve and accelerate convergence to the global optimal point iteration
TanwPSOprogram
- 正切函数法改进粒子群优化算法，惯性因子是正切函数-Tangent function improved particle swarm optimization algorithm, the inertia factor is tangent
swarm-particle-algorithm
- 对粒子群算法改进的算法，其各性能有很好的改进-Improved particle swarm optimization algorithm, its performance is very good improvement
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
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
粒子群优化算法以及改进的PSO算法代码matlab
- 粒子群算法及其改进，在原有粒子群算法基础上进行改进，增加免疫算法，使其尽快跳出早熟，收敛更快，结果更优！(Particle swarm optimization (PSO) and its improvement are improved on the basis of the existing particle swarm algorithm, and the immune algorithm is added to make it
MOQPSO(simple function)
- 本代码是量子粒子群算法的一个改进，基于多次塌陷和正交交叉(The code is an improvement of quantum particle swarm optimization based on multiple collapse and orthogonal crossover)
PSO
- 粒子群算法改进程序和一些测试函数的编写比原算法比较好(The improvement program of particle swarm optimization and the writing of some test functions are better than those of the original algorithm)
pso2
- 粒子群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。粒子群算法是一种并行算法。(It is more simple than the genetic algorithm rule. It doesn't have the crosso
gapso
- 在求解装备的资源约束型装配线一类平衡问题时，借助遗传算法和粒子群算法，并对遗传算法和粒子群算法进行改进，利用matlab程序进行优化求解。(The type 1 assembling line balancing problem for certain equipment is sovled with modified genetic-particle swarm optimization algorithm by using matl
getparamsbyN
- 在求解装备的资源约束型装配线一类平衡问题时，借助遗传算法和粒子群算法进行优化求解，并对遗传算法和粒子群算法进行改进，利用matlab程序进行优化求解。(The type 1 assembling line balancing problem with resource constrained for certain equipment is sovled with modified genetic particle-swarm alg
simulation
- 在求解装备的资源约束型装配线一类平衡问题时，借助遗传粒子群算法进行优化求解，并对遗传粒子群算法进行改进，利用matlab程序进行优化求解。本次结果是进行仿真的结果。(When solving the resource-constrained assembly line balance problem of equipment, the genetic particle swarm optimization algorithm is us
71348358pso
- 离散粒子群算法，改进的二值粒子群算法，可以正常运行(Discrete particle swarm optimization algorithm, improved binary particle swarm optimization algorithm)
lizi
- matlab的改进粒子群优化算法（IPSO）(Improved Particle Swarm Optimization based on MATLAB)