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【AI-NN-PR】 GA DL : 0: 遗传算法的原代码，可以在c环境下执行遗传算法的交叉，变异，选择。-Genetic algorithm source code, you can c circumstances, genetic algorithm crossover and mutation, select.
Update : 2024-05-04 Size : 5120 Publisher : shencheng
【AI-NN-PR】 MyGA DL : 0: 我自己写的一个用于图编码的遗传算法，实现了多种算子，如选择、交叉、编译、比较等，具体的请参见源码-I wrote it myself one for the graph-encoded genetic algorithm, to achieve a variety of operators, such as selection, crossover, compile, compare and so on, see the specific source
Update : 2024-05-04 Size : 73728 Publisher : denglijun
【Embeded-SCM Develop】 RTL8201CP-LF_ETC_556955 DL : 0: 有关RTL8201CP网络芯片嵌入式设计的开发文档 SINGLE-CHIP/SINGLE-PORT 10/100M FAST ETHERNET PHYCEIVER (With Auto Crossover) DATASHEET Rev. 1.21 12 October 2004 Track ID: JATR-1076-21-RTL8201CP network embedded on the chip design development documents SINGLE-CHIP/SINGLE-PORT10/100M FAST ETHERNET PHYCEIVER (With Auto Crossover) DATASHEETRev. 1.2112 October 2004Track ID: JATR-1076-21
Update : 2024-05-04 Size : 484352 Publisher : Hens
【AI-NN-PR】 ycsf DL : 0: 自编遗传算法程序，包括竞争选择，交叉，变异。-Own genetic algorithm procedures, including competitive selection, crossover and mutation.
Update : 2024-05-04 Size : 4096 Publisher : sunny
【Windows Develop】 genetic DL : 0: 用C++编写的遗传算法代码可以随意改变交叉率和变异率-With C++ Prepared genetic algorithm code can change the crossover rate and mutation rate
Update : 2024-05-04 Size : 4096 Publisher : 郑若金
【AI-NN-PR】 MATLAByichuansunfa DL : 0: MATLAB遗传算法工具箱函数及应用实例，:基于Matlab语言的遗传算法工具箱支持二进制和浮点数编码方式，并且提供了多种选择、交叉、变异的方法。通过具体实例对Matlab的遗传算法工具箱的用法进行了说明介绍。 -MATLAB genetic algorithm toolbox function and application example: Based on the Matlab language genetic algorithm toolbox and floating point support for binary encoding, and provides a wide range of selection, crossover and mutation method. Through concrete examples of Matlab genetic algorithm toolbox use a note.
Update : 2024-05-04 Size : 198656 Publisher : 李扬宇
【matlab】 matlab DL : 0: matlab环境下目标函数为求最大值，且解非负整数解％bounds 边界约束％Myfun 为目标函数％num 初始种群数％N 最大迭代次数％CP 交叉概率％P 突变概率％f 目标最优解％x 最优解向量-matlab environment for the sake of the objective function value, and the solution of non-negative integer solutions％ bounds border％ Myfun bound for the objective function％ num species the initial number of％ N maximum number of iterations％ CP crossover probability％ P mutation probability％ f-objective optimal solution％ x the optimal solution vector
Update : 2024-05-04 Size : 2048 Publisher : ccy
【AI-NN-PR】 generic_tsp DL : 0: 用遗传算法求解TSP问题，种子数100，遗传概率和交叉概率可以在源程序中修改。-Genetic Algorithm with TSP problem, a few hundred seeds, genetic probability and crossover probability can modify the source program.
Update : 2024-05-04 Size : 502784 Publisher : stefwang
【AI-NN-PR】 TSP DL : 0: 采用visual c解决tsp问题。里面有遗传算法的选择、交叉、变异函数。-Using visual c solve the problem tsp. There are genetic algorithm selection, crossover and mutation functions.
Update : 2024-05-04 Size : 56320 Publisher : zhangbing
【AI-NN-PR】 geneticalgorithmprocedure DL : 0: 遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，一些简单的MABTLAB遗传算法例子！-MATLB genetic algorithm procedure, which has the choice of genetic algorithm, crossover and mutation functions, some simple examples of genetic algorithm MABTLAB!
Update : 2024-05-04 Size : 7168 Publisher : 楼耀尧
【matlab】 speedyGAv1.3 DL : 0: 一种快速简单的遗传算法程序，基于Matlab7,加入特殊的交叉算子和变异算子，使算法更快。-SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language.SpeedyGA has been created and tested under Matlab 7 (R14). Added mutation and crossover mask pregeneration.
Update : 2024-05-04 Size : 3072 Publisher : 竹子的信仰
【AI-NN-PR】 TSP DL : 0: 遗传算法实现TSP算法，包括选择、交叉等操作-TSP algorithm for genetic algorithm implementation, including selection, crossover, such as operation
Update : 2024-05-04 Size : 86016 Publisher : evan
【matlab】 arithXover DL : 0: 遗传算法中交叉算子的MATLAB程序-Genetic algorithm crossover operator of the MATLAB program
Update : 2024-05-04 Size : 1024 Publisher : gao
【matlab】 fga DL : 0: 遗传算法程序: 说明: fga.m 为遗传算法的主程序采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作! -Genetic algorithm procedure: Description: fga.m main program for the genetic algorithm using binary Gray encoding, roulette based on the law of non-linear ranking selection, uniform crossover and mutation operation, but also the introduction of the inversion operation!
Update : 2024-05-04 Size : 3072 Publisher : 王力
【AI-NN-PR】 GA_Patternsearch DL : 0: 简单的遗传算法与模式搜索算法结合，算法的步骤为选择，交叉，变异，模式搜索。-Simple genetic algorithm combined with pattern search algorithm, the algorithm steps for the selection, crossover and mutation, pattern search.
Update : 2024-05-04 Size : 585728 Publisher : 吴烨
【AI-NN-PR】 GA DL : 0: 遗传算法，包含选择，交叉，变异等操作，可求出Y=sin(x)在0-2π的最大值和最小值-Genetic algorithm, including selection, crossover and mutation operation, etc., can be obtained Y = sin (x) at the 0-2π Maximum and minimum
Update : 2024-05-04 Size : 539648 Publisher : frank
【AI-NN-PR】 algorithm DL : 0: 传算法伪代码实例，遗传算法中最重要的过程就是选择和交叉。 -Examples of pseudo-code algorithm, genetic algorithm is the most important process of selection and crossover.
Update : 2024-05-04 Size : 1024 Publisher : 何炎雯
【AI-NN-PR】 ga DL : 0: 遗传算法中的新的多点交叉算法用来优化选择最优值-Genetic algorithm in the new multi-point crossover algorithm
Update : 2024-05-04 Size : 2048 Publisher : zhaowei
【AI-NN-PR】 GeneticAlgorithmImagCutingUp DL : 0: 遗传算法MATLB图像分割程序及例子，希望对大家有用-GA MATLB procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples MABTLAB GA!
Update : 2024-05-04 Size : 4096 Publisher : sanmu
【Books】 paiyang DL : 1: ：目前，粒子群算法在连续问题优化上的应用已经很广泛，然而在离散问题优化方面仍处在尝试阶段。提出了一种改进粒子群算法来解决矩形件排样优化问题(离散优化问题)。该算法融合了遗传算法中的交叉和变异思想，采用了信息交流策略，使其达到快速优化目的。算法也对“最低水平线法”解码方式进行了改进。实验结果表明，该算法具有快速、高效特点，与现有同类算法比较，在解决矩形件排样问题方面的优势明显。-: At present, the particle swarm optimization algorithm in a row on the issue has very broad applications, but in the discrete optimization problem is still trying to stage. An improved particle swarm optimization to solve the optimization of the rectangular piece nesting problems (discrete optimization problem). The algorithm combines the genetic algorithm crossover and mutation in the thinking of information-sharing strategies used to achieve the purpose of rapid optimization. Algorithm of the " minimum horizontal method" approach to the improvement of decoding. Experimental results show that the algorithm is fast, high-performance characteristics compared with existing similar algorithm, in solving rectangular piece nesting problems have obvious advantages.
Update : 2024-05-04 Size : 209920 Publisher : sdkj

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