搜索资源列表
fhycnetpsoCFM3.m
- 利用改进粒子群训练bp神经网络的matlab程序-improved PSO training bp neural network Matlab procedures
constrainpso
- 求解约束优化问题的改进粒子群优化算法,对粒子群优化算法用于约束优化问题具有参考价值
rpso
- 本代码是一种随机改进粒子群优化代码,简单,易懂 有注释信息。C语言版本,无错误,直接可运行
新建文件夹
- 提出了一种以目标函数变化量作为评价函数的改进禁忌搜索算法,并进行了理论分析,然后将其与有效禁忌搜索算法作了性能比较。通过比较三个公共测试数据集的计算结果,验证了本文提出的禁忌搜索算法的可行性和有效性。(Proposed a change in the objective function as the evaluation function of the improved tabu search algorithm, and has carried on the theoretical anal
改进粒子群算法工具箱
- 改进的pso算法 ,本人已经验证通过,解压后就可以使用
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)
一种改进的遗传粒子群算法GA_PSO
- Improved genetic particle swarm optimization (PSO) for people to learn and communicate
基于FPGA改进粒子群优化算法
- 利用权重和差异演化来改进PSO 并在FPGA中实现(Using weight and difference evolution to improve PSO and implement in FPGA)
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 crossover (Crossover) and the Mutati
particle swarm optimization algorithm
- 对于大型楼宇或矿井复杂的通风网络结构,建立数学模型,运用改进的粒子群优化算法,对通风网络进行精准通风,按需分风。(For the complex ventilation network structure of large buildings or mines, the mathematical model is established, and the improved particle swarm optimization algorithm is used to make the vent
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)
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 matlab languge.)
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 algorithm by using matlab languge
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 used to optimize the solution, a
pso
- 粒子群算法的源代码,包括线性递减惯性权重的改进代码(Source code of particle swarm optimization, including improved code of linear decreasing inertia weight)
PSO粒子群5种改进算法实例源码
- 用MATLAB编写测试函数的五种PSO改进算法(Five PSO improved algorithms with test functions written in MATLAB)
改进的快速粒子群优化算法
- MATLAB基于改进快速粒子群优化算法,有利于快速优化数值计算
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)
改进svm
- phog方法提取图像特征,svm支持向量机进行分类,分别有GA遗传算法和PSO粒子群优化算法进行寻优。(Phog method extracted image features, SVM support vector machine classification, respectively, GA genetic algorithm and PSO particle swarm optimization algorithm for optimization.)