搜索资源列表
LQR
- 单级倒立摆LQR控制仿真 最优控制理论主要通过对性能的优化寻找可以使目标极小的控制器-Inverted Pendulum Control Simulation of LQR optimal control theory, mainly through the optimization of the performance objectives can find a very small controller
Multiobjective-Optimization---Interactive-and-Evo
- Multiobjective Optimization - Interactive and Evolutionary Approaches - Springer (2008)
GOLD
- 机械优化设计中，一维搜索方法，针对单峰函数，利用进退法求收敛区间，采用黄金分割法求极值-Optimization of Mechanical Design, one-dimensional search method, for single-peak function, the use of advance and retreat method convergence interval, using golden section method for extremal
binary_pso_c
- 粒子群优化算法 二进制粒子群优化算法 c语言实现-Binary particle swarm optimization particle swarm optimization algorithm c language
Sequential_Minimal_Optimization
- Sequential Minimal Optimization- A Fast Algorithm for Training Support Vector Machines
11
- 本文主要将蚁群算法用于解决连续函数优化的问题-This paper will be used for ant colony algorithm to solve the problem of continuous function optimization
pso
- 自编的多目标粒子群优化算法，可以运行哦。-Written and directed the multi-objective particle swarm optimization, you can run, oh.
g723lib
- 经过优化的G.723.1语音编码程序，可以在CCS3.1中运行，经测试可以在DM642 DSP设备上运行-After optimization of the G.723.1 speech coding procedures can CCS3.1 run, tested in the DM642 DSP devices
OptimizationUsingTaguchMethod
- 电磁场和天线优化算法书籍，对初学者很有用-Electromagnetics and Antenna Optimization Using Taguchi Method
Optimizers
- 一系列好用的用户友好的启发式优化算法，包括非自适应算法，基于模拟退火算法的种群算法，基本遗传算法，差分进化算法以及粒子群优化算法。此外，也包括神圣算法，它利用了所有这些优化算子，虽然有时交换种群之间的不同算法。-A nice set of user-friendly heuristic optimizers. Included are a non-adaptive, population based Simulated Annealing algorithm, a basic Genetic A
pso2
- 基于改进的粒子群算法，可以用来求解函数优化问题-Based on Improved Particle Swarm algorithm, can be used to solve the function optimization problem
chaotic_PSO
- This program is an M-file of Chaotic version of Particle Swarm Optimization method.
AntTSP
- TSP问题关于蚁群最优化算法的MATLAB程序-Ant colony optimization about TSP algorithm of MATLAB
PID-GAs
- 遗传算法的PID调节 题目：已知 ，利用GA 寻优PID参数，其中K=1，T=2， ，二进制/实数编码，位数不限，M，Pc，Pm自选，性能指标 ，Q=100为仿真计算步长。-PID regulation of genetic algorithms Title: known, the use of PID parameters of GA optimization, in which K = 1, T = 2,, binary/real-coded, not limited to the me
Term_project
- particle swarm optimization (PSO) for wirreless sensor networks matlab code
ANN_Training-withPSO
- ANN Training using Particle Swarm Optimization
optimization.tar
- Iterative Methods for Optimization
pant_gecco2008(1)
- 基于二次插值的Quantum Behaved Particle Swarm Optimization，-A New Quantum Behaved Particle Swarm Optimization This paper presents a variant of Quantum behaved Particle Swarm
tr06_2005
- AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
Constrained Optimization
- In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function with respect to some variables in the presence of constraints on those variables. The objectiv