资源列表
GA-PSO
- GA和PSO联合优化算法，能实现更快的运算速度和优化效果(GA and PSO joint optimization algorithm, to achieve faster computing speed and optimization)
eemd
- 求解EEMD的工具箱，里面包含EEMD主程序，可以直接调用(Solving the EEMD toolbox, which contains the EEMD main program, you can directly call it)
元胞自动机交通流模型代码
- NaSch模型在matlab上的模拟仿真，元胞自动机单车道交通流模拟(Simulation of NaSch model on MATLAB and single lane traffic flow simulation of cellular automata)
基于蚁群算法的图像边缘检测 MATLAB源程序
- 基于蚁群算法的图像边缘检测，包含四种核函数，下载之后可直接运行(Image edge detection based on ant colony algorithm, including four kernel functions, which can run directly after downloading)
chapter11
- 作为遗传算法解决车间调度问题（单目标柔性）的入门Matlab程序，来源：Maltab智能算法30个案例分析第11章：基于多层编码遗传算法的车间调度算法。(As the genetic algorithm to solve the shop scheduling problem (single objective flexible) introduction to Matlab procedures, source: Maltab intelligent algorithm analysis ch
subspace-IAA
- Approximate subspace-based iterative adaptive approach for fast two-dimensional spectral estimation
MFE-toolbox
- Kevin Sheppard撰写的为了金融需求的Matlab工具箱。里面有丰富的金融相关模型代码，包括各种GARCH模型族、金融常用分布等。
BP
- 基追踪算法，用于解决压缩感知问题的经典算法，使用ADMM求解。(It is a matlab version of Basis Pursuit algorithm used to solving compressed sensing problem.)
MATLAB智能算法30个案例分析
- 采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法等最常用的智能算法的MATLAB实现。(Taking the intelligent algorithm as the main line, we explain the MATLAB implementation of the most commonly used intelligent algorithms, such as genetic algorithm, immune algorithm, annealin
NSGA-II
- 非支配排序的遗传算法matlab实现，pareto原理求解多目标问题(Matlab implementation of nsga2 with non dominated sorting and Pareto principle to solve multi-objective problems)
GP in power system
- 利用遗传程序设计建立电力系统的负荷模型，无需像传统方法一样预先确定具体的模型结构，它能根据输入输出数据直接演化出变量间的函数关系，并且能够一次性的同时确定函数的结构形式和参数，使得模型的生成过程趋于智能化、自动化，解决了负荷建模工作中长期困扰的模型辨识问题。(Genetic Programming(GP) is a new evolutionary algorithm based on genetic algorithm,which has self-adaptive,self-organizi
Swarm_Robot_Project_Simulator_environment1
- 机器人编队仿真程序，采用人工势场法，可以实现编队，避障等功能。(Robot formation simulation program)