搜索资源列表
NSGA-II
- 演化、遗传计算方法NSGA2的源代码-evolution, genetic method NSGA2 the source code!
l2007425234648
- 这是一道很基本的程序,一方面希望它对初学遗传算法的兄弟们有用(包含了遗传算法实现的大部分步骤,而且有详细的注释),另一方面旨在抛砖引玉, 在下浅见: 1、遗传算法在进行大规模计算时,数据交换量大,速度确实是一个瓶颈,就如这道程序,在种群规模50,进化代数1000时运行需要40秒左右(cpu:duron 1G),当然,小弟编程能力弱,望各位大侠指教啊,或帮我修改一下这道程序 -This is a very basic procedure, While they want it begi
DE
- density evolution for LDPC codes design and some related documents
partial-difference-equation-method
- 使 用 说 明 本光碟中包含五个文件夹。 (1)视频剪辑:可供教学演示,其中,"two_cells"是采用改进的变分水平集方法,实现GAC模型图像分割的演化过程;"denoissing"是利用P_M方程,对图像平滑去噪的演化过程 "curve_linear_heat_flow"是利用FT实现的闭合曲线的线性热流演化过程。 (2)二值图像:其中的图像可供形态学图像处理实验用,也可通过提取对象的边界,供曲线演化实验使用。 (3)灰度图象和彩色图像:其中的图像,可以作为图像分
DE
- 运行平台MATLAB,基于微分进化算法的函数寻优-Operating platform of MATLAB, based on the function of the differential evolution algorithm for optimization
de
- 差分进化算法,最新的用于替代遗传算法,是以后的主要发展方法-differential evolution
fortran_Simplecalculationofriverflood
- 这是一个fortran语言的简单河道调洪计算程序,或者说是一个一维洪水演进程序,希望对搞流体计算的朋友有所帮助.-This is a simple language fortran river flood program, or is an evolution of a process维洪water, and they hope to engage in fluid has been calculated to help a friend.
gaw
- 遗传算法的程序,是对生物的进化过程进行模拟的一种只能仿生算法-Genetic algorithm procedure is the process of biological evolution can only simulate a bionic algorithm
Task1TrainLabels.txt
- Training neural networks for classification using growth probability-based evolution
tasm
- select evolution with distance of the location of the current point difference, that is, if the current points for the I, the evolution of phase points can only be
AL
- A GENETIC ALGORITHM is a a parallel search method that manipulates a string of numbers (a chromosome) in a manner similar to the laws of evolution and biology. In this software, that string of numbers represents parameters of a mathematical
gprogress
- This component is an evolution of original ProgressBar from Win95. You can now change colors of background, frame and the progress bar and the best of all bar can look very cool with it s gradient colors.
DECCG
- 在MATLAB环境下编的基于邻居搜索的动态差分协同进化代码-Neighbor search based on dynamic differential co-evolution code
wangxiaoping
- 遗传算法(Genetic Algorithm)是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型,是一种通过模拟自然进化过程搜索最优解的方法-Genetic algorithm (Genetic Algorithm) is a simulation of Darwinian evolution, natural selection and genetic mechanism of the calculation model of biological evolution is
duofangshijinhuayichuansuanfa
- 对于单种群进化,多方式进化是提高全局搜索能力和收敛速度的一种有效策略-For the single-population evolution, multi-way evolution is to improve the global search ability and convergence speed of an effective strategy
Speech.Coding.Algorithms.Foundation.and.Evolution
- Algorithms of speech coding: theory & samples in C language.
Differential-evolution-algorithm
- 两目标函数差分进化算法带罚函数算例,罚函数写在目标函数包括交叉、竞争、选择等-Differential evolution algorithm
DIFFERENTION-EVOLUTION-CPP
- 基于差分演化算法的源程序,非常好用。能处理多种函数优化问题。-Based on differential evolution algorithm source code, very easy to use. Able to handle a variety of function optimization problems.
ifferential-Evolution-Algorithms
- :组合差分进化算法CoDE是一新的具有竞争力的算法,但收敛速度和寻优性能仍有待改进。为解决上述问题,提出对 组合差分进化算法CoDE从生成策略和控制参数两个方面进行改进,提出了两种改进的CoDE版本MCoDE和MCoDE—P,并 利用6个典型的测试甬数对改进性能进行检验。结果表明结合了最好个体信息的MCoDE方法能够改善CoDE的寻优性能, 而采用控制参数扩展的MCoDE—P方法却难以达到期望的效果。-: Combined differential evolution algorit
