搜索资源列表
bpycl1
- 神经网络遗传算法函数极值寻优-非线性函数极值-Neural network genetic algorithm function optimization nonlinear function extreme value
ga
- 遗传算法(多项式求最小值),一种快速而有效的寻优算法,在工业控制,经济决策,交通规则得到广泛应用-Genetic algorithm (Polynomial minimum), a fast and efficient optimization algorithm, widely used in industrial control, economic decision-making rules of the road
GA_INVERTED-PENDULUM-CONTROL-MATLAB
- 遗传算法对PID参数寻优实现倒立摆控制。-these programms fulfil the GA methods to find the global optima of the control parameters for a pid controller of an inverted pendulum.
csa-ga-pso
- 人工免疫算法、粒子群算法、遗传算法、寻优的matlab程序 -Artificial immune algorithm, particle swarm optimization, genetic algorithms, optimization matlab program
Distribution-network
- 进一步改进遗传算法,对遗传算法的编码方式,遗传算子,收敛判据等进行修改,以提高优化中的收敛速度和全局寻优能力-Improved genetic algorithm, the genetic algorithm encoding methods, genetic operator, convergence criterion are modified to improve the optimization, convergence speed and global searching abilit
Genetic_BP
- 根据神经网络和遗传算法原理,在MATLAB中编程实现神经网络遗传算法非线性函数寻优-Nonlinear function of the neural network, genetic algorithm optimization based on neural network and genetic algorithm theory, programming in MATLAB
AFSA
- 人工鱼群算法的实现代码,有效处理优化寻优问题,比遗传算法具有更好优化效果-Artificial fish swarm algorithm code to deal effectively optimize the optimization problem, with better optimization results than the genetic algorithm
fish121
- 量子遗传算法函数寻优,用鱼群求解非线性函数-Quantum genetic algorithm for function optimization, fish for Nonlinear Function
chapter4
- 人工神经网络遗传算法函数极值寻优,适合初学者学习用-Artificial neural network, genetic algorithm function extremum optimization, suitable for beginners to learn to use
BP_genetic
- 神经网络遗传算法函数极值寻优_非线性函数极值-Neural network genetic algorithm the function extremum optimizing _ nonlinear function extremum
Genetic-optimization-of-C-clustering
- 运用遗传优化算法优化模糊C均值聚类,通过全局自适应寻优,寻找出更为精确的模糊聚类中心-Using genetic optimization algorithm to optimize the fuzzy C-means clustering, global adaptive optimization to find a more precise fuzzy clustering center
Genetic Nonlinear Matlab
- 遗传算法虽然全局搜索能力较强,但是局部搜索能力较弱,一般只能搜索到函数优化问题的次优解,而不是最优解,特别是函数具有多个峰值时,遗传算法易陷入局部极小,不能找到真正的全局最优解。非线性规划因多采用梯度下降方法求解,而具有极强的局部搜索能力。因此,本源代码结合两种算法的优点,一方面采用遗传算法进行全局搜索,另一方面采用非线性规划进行局部搜索,以得到函数优化问题的全局最优解。实验证明,这种方法不仅能解决多峰函数寻优易陷入局部极小的问题,而且具有很高的迭代寻优效率,取得了满意的结果。-Global s
LSYHXY
- 量子遗传算法的函数寻优算法,以求取约束条件下的极值-Quantum genetic algorithm function optimization algorithm
GA1
- 基于遗传算算法的动态寻优算法,对于微小变化的环境很实用。-Based on the genetic algorithm is the dynamic optimum algorithm, for a small change environment is very practical.
image-thresholding-segmentation
- ]图像分割是图像处理的一个重要研究方向,本文在介绍了基于阈值的图像分割算法的基础上,针对最大类间方差的寻优问 题,利用遗传算法求解最佳闽值-Image processing image segmentation is an important research direction in this paper, based on the threshold image segmentation algorithm based on Otsu, aiming at the optimizatio
luyou
- 基于差分算法的路由算法,可以搜索网络中的最佳路由路径,差分算法优越于传统遗传算法,寻优目的性更强-Difference algorithm-based routing algorithm, the best route in the search network, differential algorithm is superior to the traditional genetic algorithm optimization purpose more
QGA
- 量子遗传算法的matlab原程序,寻优精度高,收敛速度快-Quantum genetic algorithm matlab original program, the optimization of high precision, fast convergence
duoyuzhizishiyingfenge
- 提出一种基于遗传算法的二维熵多阈值自适应图像分割方法.在分析研究二维熵阈值分割原理的基础上, 将可变码长的遗传算法应用于多阈值分割处理过程,采用基于多阈值的整数编码方式,将图像分割的类别数即染色 体的码长融合到适应度函数中,从而实现了在对阈值寻优的同时得以优化分割类别数,最终实现图像的多阈值自适 应分割处理.实验分析结果表明,该方法具有实现阈值寻优速度快,最优解对应图像分割效果好的特点-Propose a genetic algorithm based 2D entropy mult
30-cases-in-matlab
- MATLAB智能算法30个案例分析,109页的详细讲解,程序和程序注解,可以直接复制代码。包括遗传算法,基于遗传算法和非线性规划的函数寻优算法,遗传算法工具箱详解及应用,多种群遗传算法的函数优化算法, 基于粒子群算法的多目标搜索算法,基于多层编码遗传算法的车间调度算法,基于遗传模拟退火算法的聚类算法,蚁群算法,支持向量机等等30章。-MATLAB intelligent algorithm 30 case studies, 109 detailed explanations, procedur
Genetic-Algorithms
- 该程序是遗传算法优化BP神经网络函数极值寻优,该代码为基于神经网络遗传算法的系统极值寻优。-The program is a genetic algorithm to optimize BP neural network function extremum optimization, the code optimization system based on neural network genetic algorithm extremum.