搜索资源列表
topology-optimization
- 利用渐进结构法求解位移和频率混合约束下的连续体结构拓扑优化，获得材料的最优布局-use evolutionary structure method to solve the topology optimization under the constraint of displacement and frequency
mpso
- 改进粒子群算法摄像机标定，对所求的初始参数进行非线性优化,得到最终的摄像机参数精确值-Camera Calibration Using Modified Particle Swarm Algorithm， the accuracy, stability and global search ability are obviously enhanced compared with the traditional calibration algorithm. Nonlinear optimizatio
sso
- simplified swarm optimization，用來改善particle swarm optimization在離散型問題的優化演算法。內容僅包含最簡單之演算模式，可自行運用在求解的問題上。-simplified swarm optimization, to improve particle swarm optimization problems in discrete optimization algorithms. Contains only the most simple al
optimization
- 液压系统来提高系统性能和精度，达到人们想要的结果-Hydraulic system to improve system performance and accuracy, people want to achieve results
PSO_base_RBF
- 用粒子群算法来优化RBF。此种方法是把粒子群的全局寻优很好的利用到RBF的优化中。-Particle swarm algorithm to optimize RBF. This method is the global particle swarm optimization to good use to optimize the RBF.
optimization-model-and-LINGO
- 一个详细介绍LINGO的使用PTT，包括多个用LINGO解决优化规划问题。-A detailed descr iption LINGO use PTT, including multiple use LINGO to solve the optimization planning.
GP-optimization
- 整个算法分成三部分，第一个部分是神经网络整体结构的确定，然后是遗传算法对参数的优化，然后便是利用已经优化好的参数，利用神经网络进行预测。我们根据需要优化的权值以及阈值的数量确定算法个体的长度。个体通过适应度函数计算他们的适应度，根据适应度的大小，我们使用轮盘算法，确定他们的遗传，交叉还有变异等过程，优化以后的BP神经网络可以更好地收敛。-The whole algorithm is divided into three parts, the first part is to determine
Particle-swarm-optimization-program
- 粒子群算法源程序，一个完整的粒子群算法程序，供大家一起学习和参考。-Source program of particle swarm optimization (pso), a complete procedure of particle swarm optimization (pso), for everybody to learn together and reference.
PSO-optimization
- 应用粒子群算法来寻找BP神经网络最优的初始权值还有阈值，本程序主要是以此来拟合函数，读者可以根据需要，小小地修改一下BP神经网络的代码，可以实现诸如模式识别等功能，收敛效果很好，-Application of particle swarm algorithm to find the optimal initial BP neural network weights as well as the threshold value, the procedure is a way to fit func
particle-swarm-optimization
- 为方便学习粒子群算法基本流程及编程，这里给出了粒子群算法的MATLAB程序-To facilitate the learning process and particle swarm basic programming, here are the particle swarm algorithm in MATLAB
Coordination-and-Optimization
- 将网损价格因子和网损协调系数引入目标函数,建立了改进直流潮流模型,实现了负荷在机组间的最优分配 利用交流潮流方法计算系统实际网损,并利用增量直流潮流模型将网损在机组间进行合理分摊 最后利用交直流迭代思想修正网损价格因子和网损协调系数以优化网损分配方案。IEEE14节点和IEEE118节点算例验证了该方法的可行性,算例结果充分逼近了交流最优潮流的计算结果,符合实际系统运行状况。-The net loss and net loss of coordination price factor intro
microgrid-optimization-simulation-
- 微网的经济运行研究_李乐，智能电网经济运行的多目标调度优化策略_英文_郑漳华，基于Matlab_Simulink的微型燃气轮机动态仿真研究_严志远向文国张士杰-Micro-economic research network run _ Lee, Multi-objective economic operation of smart grid scheduling optimization strategy _ English _ Zheng Zhang Hua, dynamic simulati
Microgrid-optimization-algorithm
- 基于改进负荷密度法的微网负荷预测_王有春，基于改进粒子群算法的微网环保经济运行的优化_万术来，基于改进型快速寻优算法的微网经济负荷优化_胡龙龙_温向宇_黄焯麒-Improved load density law microgrid load forecasting based on _ Wang Youchun, based on improved particle swarm optimization algorithm Microgrid green economy run _ Wan su
copso
- 协同PSO算法的系统辨识，算法可实现逐维寻优，避免算法的退化-System identification collaborative PSO algorithm, the algorithm can be realized by dimensional optimization, to avoid degradation of the algorithm
GPU-parallel-optimization-algorithm
- 基于gpu的现代并行优化算法，并行传输，实现数据的高速处理-Optimization algorithm, based on modern parallel gpu parallel transmission, to achieve high-speed data processing
SCHEDULING-SCHEMES-FOR-THROUGHPUT-OPTIMIZATION-IN
- This thesis presents a scheme for scheduling of wireless adhoc networks by using directional antennas using the concept of frequency reuse. The idea of wireless adhoc network communication is taken one step further by adding directional antennas for
NLJ-optimization-algorithm
- 用于系统辨识的NLJ算法。适用于状态空间表示的非线性系统，用于系统参数的辨识。-NLJ algorithm for system identification. Applicable to non-linear state space representation used to estimate the system parameters.
non-convex-optimization
- 非凸集合上的优化问题，运用遗传算法求解，可以快速求解问题的可行解，给同行最优化计算的人借鉴、参考，有不足或者有讨论的和我联系。-Feasible solution set of the non-convex optimization problem, the use of genetic algorithms to quickly solve the problem, people to learn from peers optimization calculation of reference
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
algorithm-optimization-function
- 利用Matlab来对函数进行优化，遗传算法具有较好的优化性能，针对一些简单函数，用遗传算法进行优化设计程序-To optimize the use of Matlab function, genetic algorithm has better optimize performance for some simple functions, using genetic algorithms to optimize the design process. . . .