Search - crossover

Search - crossover - List

【AI-NN-PR】 wx_crossover_function DL : 0: 这是在matlab中编写的遗传算法交叉程序，经过测试的，好用没有错。-This is a matlab genetic algorithm in the preparation of cross-program, after testing, there is nothing wrong with easy to use.
Update : 2024-05-04 Size : 1024 Publisher : 王王
【AI-NN-PR】 GA_Code DL : 0: 遗传算法的算法编程框架,包括编码,选择,交叉,变异等等,可执行,并赋有一定的注释,可以在基于此框架上编写自己的算法流程-Genetic algorithm programming framework, including the encoding, selection, crossover, mutation, etc., enforceable, and are endowed with certain notes, can be based on this framework to write your own algorithm processes
Update : 2024-05-04 Size : 12288 Publisher : StephenChen
【AI-NN-PR】 Ga DL : 0: 用c语言编写的matlab遗传算法程序，包含：select,crossover,mutator等。非常适合初学者学习，程序比较清晰，而且不是很复杂。-Using c language matlab genetic algorithm procedure, including: select, crossover, mutator, etc.. Very suitable for beginners to learn, procedures clearer, and not very complicated.
Update : 2024-05-04 Size : 79872 Publisher : fly
【matlab】 PSO-evolutionarycomputation DL : 0: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications
Update : 2024-05-04 Size : 22528 Publisher : zzh
【AI-NN-PR】 GA_final DL : 0: 遗传算法程序求函数极值点,可调交叉和变异个数-Procedure genetic algorithm for function extremum points, adjustable crossover and mutation the number of
Update : 2024-05-04 Size : 1934336 Publisher : 张扬
【AI-NN-PR】 GA DL : 0: 本压缩包内有三个遗传算法文件，其详细文件名都以注释方式在文件内注明，分别为：基于基本遗传算法的函数最优化任意随机交叉父体、基于基本遗传算法的函数最优化、基于基本遗传算法的自适应遗传优化算法函数最优化-The compressed package file has three genetic algorithm, and its detailed documentation of all the Notes specified in the document are as follows: Based on the basic genetic algorithm to optimize a function of the parent body of arbitrary randomized crossover, based on the basic function of genetic algorithm optimization, Based on the basic genetic algorithm optimization of adaptive genetic algorithm function optimization
Update : 2024-05-04 Size : 15360 Publisher : ZH
【AI-NN-PR】 gamatlab DL : 0: 遗传算法的MATLAB实现，各遗传因子如交叉、变异等均可以改变。-MATLAB Genetic Algorithm realize, the genetic factor, such as crossover and mutation, etc. can be changed.
Update : 2024-05-04 Size : 34816 Publisher : 杨丽
【AI-NN-PR】 gatbx-origin1 DL : 0: matlab中遗传算法的通用函数，如：选择、交叉、变异等常用算子的遗传算法程序-matlab genetic algorithm in the generic function, such as: selection, crossover and mutation operators, such as commonly used genetic algorithm procedure
Update : 2024-05-04 Size : 33792 Publisher : 熊梅西
【AI-NN-PR】 ga DL : 0: 用GA求函数的极小值群体大小为15，交叉概率为0.8, 变异概率取0.01-Function using GA for the minimum group size is 15, crossover probability 0.8, mutation probability from 0.01
Update : 2024-05-04 Size : 933888 Publisher : liu
【AI-NN-PR】 GAforTSP DL : 0: 遗传算法求解TSP问题,采用轮盘赌选择方法,部分匹配交叉算子,交换变异设计.-Genetic Algorithm for TSP problem, using roulette wheel selection method, partially matched crossover operator and exchange mutation design.
Update : 2024-05-04 Size : 5120 Publisher : 底欣
【AI-NN-PR】 AFunctionOptimizerusingSimpleGeneticAlgorithm DL : 0: 这是用C编写的一个遗传算法中多点交叉算法，希望对大家有帮助！-This is used C to prepare a genetic algorithm in multi-point crossover algorithm, in the hope that everyone has to help!
Update : 2024-05-04 Size : 5120 Publisher : xiankong
【AI-NN-PR】 heredity DL : 0: 遗传算法，函数寻优程序。程序按照Holland的算法操作设计的，关键步骤有：复制，交叉，变异等。-Genetic algorithms, function optimization procedures. Procedures in accordance with the Holland algorithm designed to operate, the key steps are: reproduction, crossover and mutation and so on.
Update : 2024-05-04 Size : 3072 Publisher : shenshuo
【matlab】 singlepointmethod DL : 0: singlepoint method 开发语言：matlab 功能：采用单点交叉法实现遗传算法的交叉操作-singlepoint method development language: matlab function: single-point crossover method to achieve genetic algorithm crossover
Update : 2024-05-04 Size : 2048 Publisher : gaochunhui
【matlab】 SGALABbugfix DL : 0: 多目标遗传算法程序 to run Demo files, is to run SGALAB_demo_*.m what s new: 1) Multiple-Objective GAs VEGA NSGA NPGA MOGA 2) More TSP mutation and Crossover methods PMX OX CX EAX Boolmatrix 3) More selection methods Truncation tornament stochastic 4) mutation methods binary single point int/real single point 5) encoding/decoding methods binary integer/real messy gray DNA permuation to fix the plot bugs for 4001 , download this file and replace old files. -Multi-objective genetic algorithm program to run Demo files, is to run SGALAB_demo_*. m what s new: 1) Multiple-Objective GAsVEGANSGANPGAMOGA2) More TSP mutation and Crossover methodsPMXOXCX EAXBoolmatrix3) More selection methodsTruncationtornamentstochastic4) mutation methodsbinary single pointint/real single point5) encoding/decoding methodsbinaryinteger/realmessygrayDNA permuationto fix the plot bugs for 4001, download this file and replace old files.
Update : 2024-05-04 Size : 79872 Publisher : 馨竹
【Linux-Unix】 wine-doors-0.1.2 DL : 0: wine-doors 是基于wine的GNOME桌面软件。 wine-doors是一个软件安装管理包（类似新立得），用户可以选择要安装的软件。wine-doors可以在linux,Solaris和Unix 下运行。wine-doors将计划开发支持Cedega, cvscedega and Crossover Office的版本。-wine-doors is based on the wine of the GNOME desktop software. wine-doors is a software installation management package (similar to Synaptic), users can choose to install software. wine-doors can linux, Solaris and running under Unix. wine-doors will be plans to develop support Cedega, cvscedega and Crossover Office version.
Update : 2024-05-04 Size : 282624 Publisher : elvis
【JSP/Java】 LucasReport DL : 0: sample目录下是例子程序。 1.分组汇总例子 TestGroupReport.java 2.交叉报表例子 TestCrossReport.java 需要使用crossTabSample.xml文件。请修改程序中引用crossTabSample.xml文件的路径。 3.select.jsp和ShowReportServlet.java是将各种格式报表直接输出到浏览器的例子。将jsp放到web容器（如tomcat）的根目录下，将ShowReportServlet.java 放到适当的目录下编译。 ------------------------------------------------------------------- 开发指南： tutorial.htm src目录下为源文件。 -sample directory is the example of the procedure. 1. Packet summary examples TestGroupReport.java2. Crossover example TestCrossReport.java statements requires the use crossTabSample.xml document. Please modify the program crossTabSample.xml documents cited in the path. 3.select.jsp and ShowReportServlet.java statements for a variety of formats is to direct the output to the browser example. Jsp on the web container (such as tomcat) root directory, will be put ShowReportServlet.java appropriate compiler directory.------------------------------------------------------------------- Development Guide: tutorial.htmsrc directory for the source file.
Update : 2024-05-04 Size : 4833280 Publisher : 王
【AI-NN-PR】 GAs DL : 0: c++的标准遗传算法，改方法采用的选择，交叉，变异算子都是很有代表性的，值得参考-c++ standard genetic algorithm, to methods used in selection, crossover, mutation operator are very representative, it is also useful
Update : 2024-05-04 Size : 3072 Publisher : wangshaoshui
【AI-NN-PR】 genetic DL : 0: 本文件为遗传算法的工具箱，包括遗传算法的各种选择、交叉、变异等算法。-This document is for the genetic algorithm toolbox, including a variety of genetic algorithm selection, crossover, mutation and other algorithms.
Update : 2024-05-04 Size : 217088 Publisher : 周钟
【AI-NN-PR】 mhsj DL : 0: 针对遗传算法的特点，提出一种用模糊控制的方法来调整交叉概率和变异概率的改进模糊遗传算法及其算法结构，并将其应用于神经模糊控制器的综合优化设计。-For the characteristics of genetic algorithm, a method using fuzzy control to adjust the crossover probability and mutation probability of improving the fuzzy genetic algorithm and its algorithm structure, and applies a comprehensive neuro-fuzzy controller optimized.
Update : 2024-05-04 Size : 239616 Publisher : 陆见
【matlab】 test DL : 0: 包括建初始种群，编码，适应值计算，以及交叉、变异、重组等源码-Including building the initial population, coding, adaptation values, as well as crossover and mutation or re-source
Update : 2024-05-04 Size : 5120 Publisher : liujimin

« 1 2 3 4 5 67 8 9 10 11 ... 38 »