搜索资源列表
DE_TCR
- matlab脚本实现了DE_TCR算法-自适应交叉机制的混合差分进化算法,对研究进化算法具有一定帮助。(These matlab scr ipts implement a version of the DE_TCR algorithm which is a Hybrid Differential Evolution Algorithm With Adaptive Crossover Mechanism.)
05317533Differential_Evolution2
- 微分进化优化算法用于进行多学科优化设计使用。(Differential_Evolution)
demb
- 差分进化算法,用于优化计算,根据自己的情况进行编辑(Differential evolution algorithm)
DE
- 实现差分进化算法程序,比较简单,希望有所帮助(Differential evolution algorithm program)
原BBO程序包
- 能实现原生BBO算法,以及与其他进化算法进行对比(The native BBO algorithm can be implemented and compared with other evolutionary algorithms)
DE_FOPID
- 差分进化算法,整定分数阶PID控制器参数(Differential evolution algorithm, tune fractional PID controller parameters)
2016.11.03DE_SVR(差分进化)
- 以优化SVR算法的参数c和g为例,对DE(差分进化)算法MATLAB源码进行了详细中文注解。(Differential Evolution algorithm (DE) is a heuristic random search algorithm based on group differences. This algorithm is proposed by R.S and k.p. rice for solving Chebyshe
set
- 进化优化方法常被用于生成结构化测试用例。现有方法每次仅针对一个被测对象,生一个测试用例。要生成覆盖所有目标的测试用例集,需多次执行进化过程。本文基于集合进化优化方法,实现新的测试用例生成方法。实现的算法中,一个个体包含多个测试用例,因此,一次运行该算法能够生成满足测试需求的测试用例集。(Evolutionary optimization algorithms often used to generate structured test
DeMat
- 几种问题下的多维差分进化算法,包括Chebychev、Eggholder、Michalewicz、Peaks、Rastrigin、Rosenbrock和Zimmermann问题,可以根据不同的需求来改变objfun.m, PlotIt.m,和 Rundeopt.m。(The multidimensional differential evolution algorithm under several problems.)
遗传算法
- 利用进化算法进行仿真实验,解决TSP问题(Simulation experiments are carried out by evolutionary algorithm to solve the TSP problem)
Differential Evolution
- 差分进化算法Differential Evolution的论文(The original paper of DE)
gezhongLVQpk
- LVQ神经网络,以及思维进化的LVQ,以及改进LVQ网络,通过修改数据可使用,对故障特征量进行分类(The LVQ neural network, as well as the thought evolution LVQ, and the improved LVQ network, can be used to classify the fault features by modifying the data.)
PlatEMO
- 多目标优化算法平台,内涵多种遗传算法和进化算法,图形界面,算法齐全并且最新的(Multi objective optimization algorithm platform, the connotation of a variety of genetic algorithm and evolutionary algorithm, graphical interface, algorithm is complete and up-to-d
思维进化算法优化BP神经网络——非线性函数拟合
- 思维进化算法优化BP神经网络——非线性函数拟合,有源程序和数据(BP Neural Network Optimized by Mind Evolutionary Algorithm - Nonlinear Function Fitting)
MOEA.tar
- 多目标进化算法,C语言编程实现,性能优良(multiobject evolution algorithm)
evolution game
- 进化博弈论算法,解决感知网络中联合感知的问题(evolutionary game code)
DE
- 差分进化算法的代码框架和实例,可以实现迭代进化,得到需要的优化解。(Code fr a mework and example of differential evolution algorithm.It can achieve iterative evolution and get the desired solution.)
DeMat
- 差分进化算法,求最优解,能实现,能运行,是个样板(Differential evolution algorithm, the best solution, can be realized, can run, is a template.)
DE-test
- 差分进化算法,求最优解,能实现,能运行,是个测试版本,可以在这基础改(Differential evolution algorithm, to achieve the optimal solution, can be realized, can run, is a test version, can be modified in this basis.)
多目标优化的微分进化算法
- 差分算法,求最优解,能实现,能运行,是个测试版本,可以在这基础改(Genetic algorithm, the best solution, can be realized, can run, is a test version, can be modified in this basis.)