Search - crossover

Search - crossover - List

【Windows Develop】 GAsuanfa DL : 0: 此程序通过遗传算法(GA)实现灰度图像的分割,遗传算法的计算过程首先是将实际的优化问题编码成符合串,也称码串、染色体。将实际问题的目标函数转变为染色体的适应函数,然后在随机产生的一批初始染色体的基础上,根据各染色体的适应函数值进行繁殖、交叉、变异等遗传操作产生下一代染色体。 -This procedure of genetic algorithm (GA) to achieve gray scale image segmentation, genetic process of the algorithm is first encoded into a practical optimization problems found string, also known as code string, the chromosome. The objective function of the actual problem into the fitness function of chromosomes, then randomly generated based on the number of initial chromosomes, according to the fitness function value of chromosome reproduction, crossover and mutation operation produces the next generation of chromosomes.
Update : 2024-05-18 Size : 4167680 Publisher : 马超
【matlab】 traveling_salesman DL : 0: 遗传算法旅行商路径优化编码选择交叉变异解码-Genetic algorithm optimization of traveling salesman path selection crossover and mutation encoding decoding
Update : 2024-05-18 Size : 3072 Publisher : 夏卞
【Mathimatics-Numerical algorithms】 chap1 DL : 0: 基于遗传算法的PID参数优化的MATLAB程序，采用的是二进制编码方式，通过传递函数的离散经过适应度计算选择复制交叉变异操作得到最优解。-PID parameters based on genetic algorithm optimization of the MATLAB program, using the binary encoding, by the discrete transfer function adapted calculation select Copy crossover, mutation operations to obtain the optimal solution.
Update : 2024-05-18 Size : 2048 Publisher : wangchanglin
【Other】 Simple-genetic-algorithm-source-code DL : 0: 这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用 Gaussian变异替换均匀变异，可能得到更好的效果。代码没有任何图形，甚至也没有屏幕输出，主要是保证在平台之间的高可移植性。读者可以从ftp.uncc.edu, 目录 coe/evol中的文件prog.c中获得。要求输入的文件应该命名为‘gadata.txt’；系统产生的输出文件为‘galog.txt’。输入的文件由几行组成：数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界，第二行为第二个变量提供上下界，等等。 -It is a very simple genetic algorithm source code, is Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North Carolina at Charlotte) amendment. Code to ensure as little as possible, in fact, do not have to troubleshooting. The application of a specific amendment to this code, the user simply changes the definition of constants and the definition of "evaluation function" can be. Note that the code is designed to seek maximum value, in which the objective function can only take positive and the function value and the individual is no difference between the fitness value. The system uses the rate selection, the essence of model, single-point crossover and uniform mutation. If you replace the uniform mutation with Gaussian mutation, may be more effective. Code without any graphic or even no screen output, mainly to ensure a high portability between platforms. Readers can ftp.uncc.edu, directory coe/evol file prog.c obtained. Required input file sho
Update : 2024-05-18 Size : 8192 Publisher : 李礼
【Software Engineering】 AGA DL : 0: 介绍一种改进传统遗传算法的新方法，通过调节交叉概率和变异概率-Introduction of a new genetic algorithm to improve the traditional method, by adjusting the crossover probability and mutation probability
Update : 2024-05-18 Size : 565248 Publisher : firice
【File Format】 Genetic-Algorithms DL : 0: 这是一个简单的ＧＡ源代码，该系统使用比率选择、精华模型、单点交叉和均与变异-This is a simple GA source code, the system uses the rate selection, the essence of model, and both single-point crossover and mutation
Update : 2024-05-18 Size : 2048 Publisher : 谢斌
【AI-NN-PR】 GA DL : 0: 这是一个简单遗传算法，包括初始化群体、选择、交叉、变异，结果可以输出到文本文档-This is a simple genetic algorithm, including the initialization population, selection, crossover and mutation, the results can be exported to a text document
Update : 2024-05-18 Size : 11264 Publisher : 王华辉
【matlab】 GA_test DL : 0: 遗传算法：二进制、单点交叉、单点变异、轮盘赌、模拟退火(默认无)、最优个体保留(默认无)-Genetic algorithm: binary, single-point crossover, single-point mutation, roulette, simulated annealing (default no), best individual reservations (default no)
Update : 2024-05-18 Size : 3072 Publisher : owen
【Documents】 AFusionOfCrossoverAndLocalSearch DL : 0: 《融合的交叉和局部搜索》本文使用一个新的遗传算子的交叉融合(MSXF称为关联的交叉结合起来经营者以邻域搜索算法。　　 -《Integration of the cross and the local search》This article uses a new genetic operator of crossover fusion (MSXF called the associated operators to combine cross-neighborhood search algorithm.
Update : 2024-05-18 Size : 132096 Publisher : zhengyan
【VHDL-FPGA-Verilog】 EDA2 DL : 0: 学习数控分频器的设计、分析和测试方法。数控分频器的功能就是当在输入端给定不同输入数据时，将对输入的时钟信号有不同的分频比，数控分频器就是用计数值可并行预置的加法计数器设计完成的，方法是将计数溢出位与预置数加载输入信号相接即可。-NC crossover study design, analysis and testing methods. NC divider function is that when the input given different input data, input the clock signal will have a different frequency than, NC divider is in parallel with the meter values can be preset in addition counter design completed, method is to count the number of overflow bit and pre-loaded connecting the input signal can be.
Update : 2024-05-18 Size : 45056 Publisher : zhangyue
【matlab】 genetic_operator DL : 0: It s genetic operator (crossover and mutation) for discrete optimization
Update : 2024-05-18 Size : 1024 Publisher : pejman
【matlab】 ga DL : 0: 使用“旋轮法正比选择”、“单切点交叉”和单点突变的遗传算法-Use " proportional to select the roller method," " single-cut point crossover" and the single point mutation in the genetic algorithm
Update : 2024-05-18 Size : 1024 Publisher : bread
【Other】 div32 DL : 0: 基于verilog的分频器 23分频器可更具需要修改成任意偶数分频器-23 divider verilog-based crossover can be even more need to modify the divider into any
Update : 2024-05-18 Size : 219136 Publisher : 费丹
【matlab】 NSGA-IIMATLAB DL : 0: NSGA-II 效果很好很多人里面的交叉变异都有误解对刚接触多目标的人很有用处-NSGA-II works well inside the crossover and mutation, many people have a misunderstanding of the goals of people new to many useful
Update : 2024-05-18 Size : 7168 Publisher : fanglingfen
【matlab】 ss DL : 0: 遗传算法解决背包问题，其中包括算法编码初始化，交叉，变异和惩罚策略，很好的解决了背包问题-Genetic algorithm to solve knapsack problem, including the coding algorithm initialization, crossover, mutation and punishment strategy, a good solution to the knapsack problem
Update : 2024-05-18 Size : 1024 Publisher : ss
【VHDL-FPGA-Verilog】 VHDL_fre_div DL : 0: 使用VHDL进行分频器设计本文使用实例描述了在FPGA/CPLD上使用VHDL进行分频器设计，包括偶数分频、非50 占空比和50 占空比的奇数分频、半整数（N+0.5）分频、小数分频、分数分频以及积分分频。所有实现均可通过Synplify Pro或FPGA生产厂商的综合器进行综合，形成可使用的电路，并在ModelSim上进行验证。-For crossover design using VHDL This paper describes the use of examples in the FPGA/CPLD design using VHDL for divider Design, including even frequency, duty cycle and 50 of non-50 duty cycle of the odd frequency, half-integer (N+0.5) frequency, fractional, fractional and integral crossover frequency. Can all achieve Synplify Pro FPGA by or integrated device manufacturers an integrated, enables the formation of With the circuit, and on the ModelSim verification.
Update : 2024-05-18 Size : 322560 Publisher : guoguo
【matlab】 SGAPublic DL : 0: 本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦）并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；-The SGA can optimize the variables, find minimum, maximum (when the function is also seeking the minimum reciprocal friends) and support for floating-point encoding, grey code, binary code roulette method selection, tournament selection single point crossover, uniform Cross, floating-point crossover single point mutation, floating-point mutation
Update : 2024-05-18 Size : 1024 Publisher : 冯紫藤
【CA auth】 ModelGenerationforanIntrusionDetection DL : 0: 记载每一代的进化过程中保留多个最优个体不参加交叉，变异等遗传运算，而直接将他们复制到下一代群体中。-Documented the evolution of each generation to keep more than the best individual does not participate in crossover and mutation genetic operators, and direct them to the next generation of copy groups.
Update : 2024-05-18 Size : 197632 Publisher : andyiouv
【Other】 my_ga DL : 0: Rudolph G. Convergence analysis of canonical genetic algorithms. IEEE Trans. On Neural Networks, 1994,5:96~101 [36] Rudolph G. Asymptotic convergence rates of simple evolutionary algorithms with Cauchy mutations. IEEE Transactions on Evolutionary Computation, 1998,1(4):249~258 [37] Srinivas M, Patnaik L M. Adaptive Probabilities of Crossover and Mutations in Gas. I-Rudolph G. Convergence analysis of canonical genetic algorithms. IEEE Trans. On Neural Networks, 1994,5:96~101 [36] Rudolph G. Asymptotic convergence rates of simple evolutionary algorithms with Cauchy mutations. IEEE Transactions on Evolutionary Computation, 1998,1(4):249~258 [37] Srinivas M, Patnaik L M. Adaptive Probabilities of Crossover and Mutations in Gas. IEEE
Update : 2024-05-18 Size : 5120 Publisher : lfq
【SCM】 TDA2030 DL : 0: TDA2030是许多电脑有源音箱所采用的HI-FI 功放集成块。它接法简单，价格实惠。额定功率为14W。电源电压为±6～±18V。输出电流大，谐波失真和交越失真小（±14V/4欧姆，THD=0.5 ）。具有优良的短路和过热保护电路。其接法分单电源和双电源两种。pdf中均有两种接法的原理图并附有pcb布局-TDA2030 is active in many computer speakers used HI-FI amplifier integrated block. It is connected in a simple, affordable. Rated at 14W. Supply voltage of ± 6 ~ ± 18V. Output current, harmonic distortion and crossover distortion (± 14V/4 Ohm, THD = 0.5 ). With excellent short-circuit and temperature protection circuits. The access method over single and dual Power of two. pdf are two kinds of wiring in the schematic together with pcb layout
Update : 2024-05-18 Size : 157696 Publisher : 笑笑

« 1 2 ... 6 7 8 9 10 1112 13 14 15 16 ... 38 »