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在视频显示中用的分频器,可以用来分频点时钟,也可用来控制两个逻辑状态-video display used in the dividers can be used to crossover clock, also can be used to control two logic state
Update : 2024-05-04 Size : 2048 Publisher : 宋立国

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% [BestPop,Trace]=fmaxga(FUN,LB,UB,eranum,popsize,pcross,pmutation) % Finds a maximum of a function of several variables. % fmaxga solves problems of the form: % max F(X) subject to: LB <= X <= UB % BestPop--------最优的群体即为最优的染色体群 % Trace----------最佳染色体所对应的目标函数值 % FUN------------目标函数 % LB-------------自变量下限 % UB-------------自变量上限 % eranum---------种群的代数,取100--1000(默认1000) % popsize--------每一代种群的规模;此可取50--100(默认50) % pcross---------交叉的概率,此概率一般取0.5--0.85之间较好(默认0.8) % pmutation------变异的概率,该概率一般取0.05-0.2左右较好(默认0.1) % options--------1×2矩阵,options(1)=0二进制编码(默认0),option(1)~=0十进制编码,option(2)设定求解精度(默认1e-4)- [BestPop, Trace] = fmaxga (FUN, LB, UB, eranum, popsize, pcross, pmutation) Finds a maximum of a function of several variables. Fmaxga solves problems of the form: max F (X) subject to : LB <= X <= UB BestPop-------- optimal chromosome groups is the best group Trace---------- chromosome corresponding to the best objective function value FUN------------ objective function LB------------- variable lower limit since the UB------------- variable upper limit eranum--------- populations algebra, take 100- 1000 (default 1000) popsize-------- population size of each generation this desirable 50- 100 (default 50) pcross--------- crossover probability, the probability of a general check 0.5- 0.85 between the better (default 0.8) pmutation------ mutation probability, the probability of 0.05 general admission better about-0.2 (default 0.1) options-------- 1 × 2 matrix, options (1) = 0 binary code (default 0), option (1) ~ = 0 decimal coding, option (2 ) set accuracy (default 1e-4)
Update : 2024-05-04 Size : 3072 Publisher : mmcc

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改进的GA. 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! -improved GA. Fga.m for the main program of genetic algorithm using binary Gray code, Based on the roulette method of nonlinear ranking choice, uniform crossover and mutation, but also to introduce the inversion operation.
Update : 2024-05-04 Size : 3072 Publisher : 林洋

利用数论中的佳点集的理论和方法,对遗传算法中的交叉操作进行了重新设计,给出了一个新的遗传算法,称之为佳点集的遗传算法 站长不接受我的代码说明名你对佳点集完全不了解我白传了-use of the theory of good points of the theory and method of genetic algorithm crossover operator of a new design. is a new genetic algorithm, call it good point-set head of the genetic algorithm does not accept the code I note from your good points I totally unaware of the white-
Update : 2024-05-04 Size : 595968 Publisher : lixijuan

免疫遗传算法matlab 程序,该算法由抗原识别、初始抗体产生、适应度计算、向记忆细胞分化、抗体的促进和抑制、抗体产生(交叉、变异) 六个模块组成-immune genetic algorithm Matlab procedure, the algorithm by antigen identification, initial antibody, fitness, to the memory cells, antibody for the promotion and inhibition, antibody (crossover and mutation) six modules
Update : 2024-05-04 Size : 1024 Publisher : He Hong

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1.设计一个十字路口的交通灯控制电路,要求甲车道和乙车道两条交叉道路上的车辆交替运行,每次通行时间都设为25秒; 2.要求黄灯先亮5秒,才能变换运行车道; 3.根据交通灯控制系统框图,画出完整的电路图。 3.设计出PCB图 -1. Design a crossroads, the traffic lights control circuit, A request lane motorway and two B crossover vehicles on the road alternate operation, each time as the passage of 25 seconds; 2. Asked yellow first-five seconds, can transform running lane; 3. According to the traffic light control system block diagram, paint a complete circuit. 3. PCB design plans
Update : 2024-05-04 Size : 256000 Publisher : kaimin

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用C语言实现的遗传算法。计算交叉概率和变异概率。-C language of genetic algorithm. Calculated crossover probability and mutation probability.
Update : 2024-05-04 Size : 2048 Publisher :

特征提取:重点是几何特征(环,交叉点,端点)和变换-Feature Extraction : focus on the geometric characteristics (Central, crossover point, endpoint) and the Transform
Update : 2024-05-04 Size : 128000 Publisher : 马行田

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两种改进的遗传算法(自适应交叉概率的遗传算法,加入领域竞争策略的遗传算法)相比较的matlab程序,基于UCI的两个数据集,可直接运行程序观察效果。-both improved genetic algorithm (adaptive crossover probability of genetic algorithm, to field a competitive strategy of genetic algorithm) compared to the Matlab procedures, the UCI based on two data sets, can run the program directly observe the effect.
Update : 2024-05-04 Size : 378880 Publisher : zym

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遗传算法的程序 遗传 算 法 (GeneticA lgorithm,G A)是一种大规模并行搜索优化算法,它模 拟了达尔文“适者生存”的进化规律和随机信息交换思想,仿效生物的遗传方式, 从随机生成的初始解群出发,开始搜索过程。解群中的个体称为染色体,它是一 串符号,可以是一个二进制字符串,也可以是十进制字符串或采用其他编码方式 形成的码串。对父代(当前代)群体进行交叉、变异等遗传操作后,根据个体的 适应度〔fitness)进行选择操作,适应度高的个体有较高的概率被选中并复制到下 一代,如此产生的子代通常优于父代,这个过程称为进化。上述过程循环执行直 至满足停机条件,最终使优化过程以大概率趋于全局最优解-procedures GA GA (GeneticA lgorithm. A G) is a massively parallel search algorithm, It simulated by Darwin's "survival of the fittest" law of evolution and random information exchange ideas, to follow the example of biological genetic, randomly generated from the initial solutions group, began searching process. Groups of individuals known as chromosome, which is a bunch of symbols, it is a binary string, it can also be a decimal string or other code created by the code string. On behalf of the father (the current generation) groups for the crossover and mutation operation. According to the individual fitness [fitness), select Options, Adaptation to high-level individuals have a higher probability of being selected and copied to the next generation, so the offspring are usual
Update : 2024-05-04 Size : 2048 Publisher : 王硕

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遗传算法程序 主要程序 ga.m 遗传算法核心程序 BinaryExample.m 二进制编码应用程序 FloatExample.m 浮点编码的应用程序 相关算子及函数 initializega.m 种群初始化函数 simpleXover.m 用于二进制编码的简单交叉算子 arithXover.m 用于浮点编码的算术交叉算子 binaryMutation 用于二进制编码的变异算子 nonMutation.m 用于浮点编码的非均匀变异算子 roulette.m 轮盘选择算子 normGeomSelect.m 标准化几何分布排序选择算子 maxGenTerm.m 以最大进化代数为判别条件的进化终止函数 calcbits.m 计算二进制编码染色体串长度的函数 f2b.m 由浮点表达到二进制表达的转换函数 b2f.m 由二进制表达到浮点表达的转换函数 parse.m 字符串识别函数 delta.m 非均匀变异的变异量计算函数 exampleFn 一个二元函数 startup.m 进行路径设置-Genetic Algorithm main proceedings ga.m GA BinaryExample core program. m binary floating-point applications FloatExample.m coding applications relevant operator and function initializega.m Stocks initialization function for binary series simpleXover.m Codes simple crossover operator arithXover.m for floating-point arithmetic coding crossover operator binaryM utation for binary coding mutation operator nonMutation.m float for the non-coding Uniform mutation operator roulette.m roulette selection operator normGeomSelect.m standards Sort of geometric distribution maxGenTerm.m selection operator algebras with the greatest evolutionary criterion for the evolution of termination calcbits.m calculation function binary coding chromosome length of the string from the floating-point functions f2b.m
Update : 2024-05-04 Size : 13312 Publisher : 胡朋

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水库调度的遗传算法,个体选择、代数、交叉、变异概率控制水库。-reservoir of genetic algorithm scheduling, individual choice, algebra, crossover and mutation probability control of the reservoir.
Update : 2024-05-04 Size : 53248 Publisher : 阴影

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演化算法的示例代码,包括演化算法的全部实现过程,主要操作包括选择,交叉,变异-evolutionary algorithm code examples, including the evolution of the algorithm to achieve full process, including the operation of the main selection, crossover, Variation
Update : 2024-05-04 Size : 227328 Publisher :

数电课程设计:交通灯⑴设计一个十字路口的交通灯控制电路,要求甲车道和乙车道两条交叉道路上的车辆交替运行,甲车道(主干道)放行45秒,乙车道(支干道)通行时间为25秒; ⑵在每次由绿灯变成红灯的转换过程中间,要亮5秒的黄灯作为过度,以使行使中的车辆有时间停到禁止线以外; -The number of electrical curriculum design: the design of a traffic light ⑴ crossroads traffic lights control circuit requires a two-lane carriageway and B crossover vehicles on the road to the turn to run, a lane (trunk) release of 45 seconds, B Lane (trunk branch) passage time for 25 seconds ⑵ at every red light from green into the middle of the conversion process, it is necessary to light five seconds over the yellow light as to enable the exercise of the vehicles have time to stop to prohibit outside line
Update : 2024-05-04 Size : 260096 Publisher : feini

遗传算法基本算法,遗传算法自适应算法,遗传算法交叉算法-GA basic algorithm, genetic algorithm adaptive algorithm, genetic algorithm crossover algorithm
Update : 2024-05-04 Size : 19456 Publisher : zxq

wince 6.0下SMSC9118 100M网卡驱动,基于PXA270测试通过,并且支持10M/100M自适应功能,并且能够自适应交叉线和直连线-wince 6.0 network card driver under SMSC9118 100M, based on the PXA270 test and support 10M/100M adaptive function, and can self-adaptive crossover and straight-line connection
Update : 2024-05-04 Size : 294912 Publisher : 唐峰

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: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。-: 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 described the usage of introduction.
Update : 2024-05-04 Size : 100352 Publisher : icyrock

AI-NN-PRga
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C语言实现的遗传算法,包括选择、交叉、变异操作的实现-C Language Implementation of genetic algorithm, including selection, crossover and mutation operations realize
Update : 2024-05-04 Size : 5120 Publisher : 吴家宏

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GA(Simple Genetic Algorithm)是一种强大的智能多变量优化算法,它模仿种群繁殖规律来进行优化。 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;-GA (Simple Genetic Algorithm) is a powerful, intelligent multi-variable optimization algorithms, which mimic the breeding populations of the law to be optimized. SGA can optimize this variable, and the minimum value, maximum value (when the function of the countdown you will seek the minimum value) and to support the floating-point encoding, grey code, binary code round of gambling options, tournament selection single-point crossover, uniform Cross, floating-point crossover single point mutation, floating-point variation
Update : 2024-05-04 Size : 9216 Publisher : yuandi

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该程序为使用了轮盘赌选择方式、单点交叉和基本位变异算子,内嵌精英保留策略的基本遗传算法。其实现使用了固定数组,使用一个常用的测试函数。-The procedure for the use of a roulette wheel selection, single-point crossover and basic bit mutation operator, embedded elite reservation strategy for the basic genetic algorithm. The realization of the use of a fixed array, the use of a commonly used test functions.
Update : 2024-05-04 Size : 3072 Publisher : 东方志柱
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