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Multiobjective Particle Swarm with Crowding Distance（多目标优化）-Multiobjective Particle Swarm with Crowding Distance (multi-objective optimization)
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SCE（shuffled complex evolution ）是一种相对较新的连续性问题的元启发搜索算法。非常适合于求解具有多个局部最小的全局优化问题。SCE算法的主要特征是通过竞争进化和定期洗牌来确保每个复形获得的信息能在整个问题空间获得共享。-SCE (shuffled complex evolution) is a relatively new meta-continuity heuristic search algorithm. Very suitable for solving wi
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一款埃及学生用Matlab编的的基于PSO的PID整定程序，使用方法详见程序注释。-Tunning of PID controller using Bacterial Foraging Orientec by Particle swarm optimization
My work has been accpepted in GECCO 2008 as Graduat Student workshop. I
have used this techique in PID
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SEP代码，帮助实现传感器网络的优化应用，延长传感器网络的生命周期。-SEP code, to help achieve the optimization of sensor network applications, to extend the life cycle of sensor networks.
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Matlab粒子群算法优化RBF网络采用了粒子群算法对RBF神经网络中的参数进行了优化，，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强
-Matlab particle swarm algorithm to optimize the RBF network using particle swarm optimization of parameters in RBF neural network optimized, verified in a t
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FPGA和ASIC实现的图像中值滤波模块，各模块的仿真结果以及MATLAB,Modelsim联合仿真。这是中科大超大规模集成电路设计优化的final project。附有最终版的report和presention。-FPGA and ASIC implementation of image filtering modules, each module of the simulation results and MATLAB, Modelsim co-simulation. This is the
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这段代码实现的是基于MATLAB的MIMO-OFDM的系统多用户检测，采用的算法是粒子群优化算法，他能提高系统的性能-This code implementation is based on the MATLAB MIMO- OFDM system, multi-user detection is the particle swarm optimization algorithm, the algorithm used he can improve the performance of the
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在MATLAB环境下仿真wsn定位算法，包括基本算法和一些算法的集成优化。例如三边定位算法的优化，m文件源代码为主-Wsn simulation in MATLAB positioning algorithm, including an integrated optimization algorithm and some of the basic algorithm. For example trilateral positioning algorithm optimization, m fil
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于市售 STM32 开发板上实现特定人语音识别处理项目。识别流程是：预滤波、ADC、分帧、端点检测、预加重、加窗、特征提取、特征匹配。端点检测(VAD)采用短时幅度和短时过零率相结合。检测出有效语音后，根据人耳听觉感知特性,计算每帧语音的 Mel 频率倒谱系数(MFCC)。然后采用动态时间弯折(DTW)算法与特征模板相匹配,最终输出识别结果。先用Matlab对上述算法进行仿真，经数次试验求得算法内所需各系数的最优值。而后将算法移植到 STM32 开发板上，移植过程中根据 STM32 上存储空间相
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this matlab code for portfolio optimization-this is matlab code for portfolio optimization
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Genetic algorithm based reactive power optimization, Course designed to prepare the matlab program code, Can dynamically adjust the parameters of the operating environment.
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Optimization class contains several simple sample programs, MIMO OFDM matlab simulation, Includes the modulation, demodulation, signal to noise ratio calculation.
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Optimization class contains several simple sample programs, esprit algorithm signal frequency interference can be assessed Least-squares regression analysis algorithm.
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Contains two clients receive link-level communications program, Based on wavelet transform digital watermarking algorithm matlab code, LCMV optimization design array signal processing.
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Monte Carlo simulation method of calculating the American option price and basic descr iption, Genetic algorithm based reactive power optimization, Matlab to achieve user-friendly.
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Welcome to download the study, LCMV optimization design array signal processing, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
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Computing time and two-dimensional histogram, Optimization class contains several simple sample programs, matlab prepared cellular automata.
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Car class-based truck driver trying to Matlab program, In the MATLAB image texture feature, LCMV optimization design array signal processing.
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Genetic algorithm based reactive power optimization, Based on wavelet transform digital watermarking algorithm matlab code, Interpolation and fitting, solution of equations, data analysis.
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Course designed to prepare the matlab program code, Algorithm optimization is very good, almost no circulation, Wavelet packet analysis to extract vibration signal characteristic frequency.
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