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【Books】 A Comparison of Crossover and Mutation in Genetic Programming.rar DL : 0: 遗传算法的文章
Update : 2024-05-04 Size : 917026 Publisher :
【Other resource】 binary DL : 0: 利用遗传算法求最小值，程序中求得是表达式x1*x1+x2*x2+x3*x3再-2~2上的最小值，以及对应的x值，算法中使用二进制编码，交叉采用不同交叉和优势交叉，变异也分两种，不用变异和优势变异-using genetic algorithms for the minimum, procedures to seek expressions x1 x1 x2 * * * x2 x3 x3 another 2 ~ 2 on the minimum, and the corresponding value of x, algorithm using binary encoding, using different cross-cross and advantages of crossover and mutation at the two without variation and variation advantage
Update : 2008-10-13 Size : 11685 Publisher : 陈仕林
【Other resource】特征提取 DL : 0: 特征提取：重点是几何特征（环，交叉点，端点）和变换,例子就是这些几何特征的提取。-Feature Extraction : focus on the geometric characteristics (Central, a crossover point, endpoint) and the transformation of these examples is the geometric features are extracted.
Update : 2008-10-13 Size : 53937 Publisher : 何风
【Other resource】 matlab遗传算法程序(new) 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！-GA MATLB procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples MABTLAB GA!
Update : 2008-10-13 Size : 6867 Publisher : enao
【Other resource】 crossover DL : 0: matlab环境下的遗传算法交叉程序，有不当之处敬请指教-Matlab environment of cross-GA procedures, it can be faulted Comments enlighten
Update : 2008-10-13 Size : 880 Publisher : 闫小月
【Other】 VC_GAD DL : 0: 简单遗传算法VC实现，包括选择，交叉，变异以及种群初始化-simple genetic algorithm VC, including the selection, crossover and mutation, and initialization Stocks
Update : 2008-10-13 Size : 7623 Publisher : 王斌
【Other resource】 immunity DL : 1: 提供一个人工免疫算法源程序，其算法过程包括： 1.设置各参数 2.随机产生初始群体——pop=initpop(popsize,chromlength) 3.故障类型编码，每一行为一种！code(1,:)，正常；code(2,:)，50％；code(3,:)，150％。实际故障测得数据编码，这里Unnoralcode,188％ 4.开始迭代（M次）： 1）计算目标函数值：欧氏距离[objvalue]=calobjvalue(pop,i) 2）计算群体中每个个体的适应度fitvalue=calfitvalue(objvalue) 3）选择newpop=selection(pop,fitvalue) objvalue=calobjvalue(newpop,i) ％交叉newpop=crossover(newpop,pc,k) objvalue=calobjvalue(newpop,i) ％变异newpop=mutation(newpop,pm) objvalue=calobjvalue(newpop,i) ％ 5.求出群体中适应值最大的个体及其适应值 6.迭代停止判断。-provide a source of artificial immune algorithm, the algorithm process include : 1. Two of the parameters set. Initial randomly generated groups -- pop = initpop (popsize, chromlength) 3. Fault type coding, each act a! Code (1 :), normal; Code (2, :), 50%; Code (3 :), 150%. Fault actual measured data coding, here Unnoralcode, 188% 4. Beginning iteration (M) : 1) the objective function value : Euclidean distance [objvalue] = calobjvalue (pop, i) 2) calculation of each individual groups of fitness calfitvalue fitvalue = ( objvalue) 3) = newpop choice selection (pop, fitvalue) objvalue = calobjvalue (newpop, i) =% newpop cross-crossover (newpop, pc, k) = calobjvalue objvalue (newpop, i) =% variation newpop mutation (newpop, pm ) objvalue = calobjvalue (newpop, i)% 5. groups sought to adapt th
Update : 2008-10-13 Size : 9012 Publisher : 江泉
【OS program】 slgtk2 DL : 0: 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 : 2008-10-13 Size : 2078 Publisher : 宋立国
【Other resource】 GA-2 DL : 0: 利用遗传算法求解一个问题的最优解，包括交叉、变异等过程 -using a genetic algorithm for the optimal solution, including crossover and mutation processes
Update : 2008-10-13 Size : 2086 Publisher : 薛燕
【Other resource】 GAGJ) DL : 0: 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 : 2008-10-13 Size : 3662 Publisher : 林洋
【Other】 GoodPointSetBasedGeneticAlgorithm DL : 0: 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 : 2008-10-13 Size : 20223 Publisher : lixijuan
【Other resource】 immune-genetic-algorithm DL : 0: 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 : 2008-10-13 Size : 1720 Publisher : He Hong
【File Operate】 asda DL : 0: 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 : 2008-10-13 Size : 256097 Publisher : kaimin
【JSP/Java】 java-ga-devel-alpha-0.1.tar DL : 0: 遗传算法源代码,实现了选择操作、交叉操作和变异操作，通过适应度函数完成种群的选择及收敛。-genetic algorithm source code and realized the choice of operation, crossover and mutation operation, through fitness function completed Stocks choice and convergence.
Update : 2008-10-13 Size : 30590 Publisher : 李文
【Other resource】 AI_yichuan DL : 0: 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 : 2008-10-13 Size : 2650 Publisher : 尘
【Other resource】 Neural_Network_Code_CHAPT8 DL : 0: 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 : 2008-10-13 Size : 128569 Publisher : 马行田
【Other resource】 AGAandLAGA DL : 0: 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 : 2008-10-13 Size : 379502 Publisher : zym
【Other resource】 EGA DL : 0: 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 : 2008-10-13 Size : 2533 Publisher : 王硕
【Other resource】 AI_GA_matlab DL : 0: 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 : 2008-10-13 Size : 13300 Publisher : 胡朋
【Other resource】 ycsf DL : 1: 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 : 2008-10-13 Size : 53316 Publisher : 阴影

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