搜索资源列表
ACO
- Ant Colony Optimization implemente in Visual Studio C-Ant Colony Optimization implemente in Visual Studio C++
psocode1
- 基本粒子群优化算法（pso算法）包含程序代码和注解-Particle swarm optimization (pso algorithm) contains program code and comments
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
Langr_Newton
- Optimization: work for Lagrangian Newton algorithm. -Optimization for Lagrangian Newton algorithm.
Thestatusoffuzzycontrol
- 文章简要介绍了模糊控制的概念和特点，并对模糊控制的原理作了说明，较详细的介绍了模糊控制的现状，包括模糊PID控制、自适应模糊控制、神经模糊控制、遗传算法优化的模糊控制、专家模糊控制等，最后对模糊控制的发展作了展望。-This paper briefly introduces the concept and characteristics of fuzzy control, and fuzzy control principle is illustrated in more detail the
job-shop1
- Matlab车间动态调度PSO微粒群算法程序（优化目标为机器间隙时间）-Matlab Workshop Particle Swarm Optimization PSO dynamic scheduling procedures (optimization target machine clearance time)
job-shop2
- Matlab 车间动态调度 PSO微粒群算法程序（优化目标为平均流动时间）-Matlab Workshop Particle Swarm Optimization PSO dynamic scheduling program (average flow time optimization objectives)
GA
- 基于免疫遗传算法的QOS路由选择问题 给予免疫遗传算法的多目标优化问题 -Immune genetic algorithm based QOS routing problems provide the immune genetic algorithm for multi objective optimization problem
Adaptive_particle_swarm_algorithm
- 自适应粒子群算法，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，而且不容易陷入局部最优，能更有效的解决复杂问题。-Adaptive particle swarm algorithm, adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergenc
psoandqpso
- 基本的粒子群算法以及使用具有量子行为的粒子群算法，能够很好的用于全局的寻优-The basic particle swarm optimization and the use of a quantum particle swarm behavior can be very good for the overall optimization
CS
- L1-MAGIC is a collection of MATLAB routines for solving the convex optimization programs central to compressive sampling. The algorithms are based on standard interior-point methods, and are suitable for large-scale problems
111
- matlabb标准粒子群优化算法。 电力系统的分析和计算中，需要不同网络结构和参数。在应 用这些参数之前，收集和整理工作会花费大量的时间和精力。-matlabb standard particle swarm optimization. Power system analysis and calculation, require different network structures and parameters. Before applying these parameters,
matlab-pid
- 基于蚁群算法的PID控制参数优化Matlab源码,步骤详细，附有说明。-PID Control Based on Ant Colony Optimization Algorithm for Matlab source, the steps in detail, with explanation.
CP
- 粒子群加连续潮流法，能优化变压器分接头，进行多变量优化，使系统非常稳定-PSO plus continuous power flow, transformer taps can be optimized, multi-variable optimization, making the system very stable
PSO_Java
- 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域，基于Java语言实现。-Compared with the genetic algorithm, PSO has the advantage is simple and easy and there is no need to adjust many parameters. Has been widely applied to function o
CPSOieee14
- 用粒子群算法进行无功优化，比较实用，希望对大家有帮助，14节点的，-Particle swarm algorithm with reactive power optimization, more practical, we want to help, 14 nodes,
AdapCode
- AdapCode Adaptive Network Coding for Code Updates in Wireless Sensor Networks 一个关于网络编码方法的介绍，应用于网络模拟，优化无线传感器网络通信-AdapCode Adaptive Network Coding for Code Updates in Wireless Sensor Networks a presentation on network coding, used in network simulation
MATLAB
- 一、 牛顿－拉夫逊法概要 首先对一般的牛顿－拉夫逊法作一简单说明。已知一个变量X的函数 （4－6） 解此方程式时，由适当的近似值X（0）出发，根据 （4－7） 反复进行计算，当X（n）满足适当的收敛判定条件时就是（4－6）式的根。这样的方法就是所谓的牛顿－拉夫逊法。 式（4－7）就是取第n次近似解X（n）在曲线 上的点 处的切线与X轴的交点作下一次X（n+1）值的方法。参考图4－2（a）。在这一方法中为了能收敛于真解，初值X（0）的选取及函数f（X）必须满足适当的条件，如
optimization
- Derivative-based Optimization using The Gradient Descent
pid
- 人工智能（模糊在自动控制的应用）电动机控制中的简单遗传算法PID参数优化-Artificial intelligence (fuzzy in Automatic Control) motor control in the simple genetic algorithm optimization of PID parameters