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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-fga.m the main program for the genetic algorithm using binary Gray encoding, roulette wheel based on the law of non-linear ranking selection, uniform crossover and mutation operations, but also the introduction of the inversion operation
Update : 2024-05-04 Size : 6144 Publisher : 赵彦

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 : 2024-05-04 Size : 4096 Publisher : 姚春玲

完成飛行情報區交叉可以高保真的夢想,它的大幅過濾器和線性信號階段。 but current FFT type of FIR crossover on PC loses time information of audio signal.但目前的FFT類型的FIR交叉在PC失去時間信息的音頻信號。 If you use 10ms frame, time information in 10ms are lost.如果您使用10ms幀,在10ms時間信息都將丟失。 Now nVidia CUDA GPU computing power can achieve very fast "Real" FIR conversion, resulting such a sharp filtering like below.現在的nVidia CUDA技術的GPU運算能力可以達到非常快的“真正的”飛行情報區的轉換,從而導致這樣一個尖銳的過濾像如下。 -Complete FIR Crossover can be Audiophile s dream, by it s sharp filter and linear signal phase. but current FFT type of FIR crossover on PC loses time information of audio signal. If you use 10ms frame, time information in 10ms are lost. Now nVidia CUDA GPU computing power can achieve very fast "Real" FIR conversion, resulting such a sharp filtering like below.
Update : 2024-05-04 Size : 1781760 Publisher : bigecho

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采用了保优的选择遗传算法 终止条件的判断是:到达一定的代数。可改进为:相邻若干代的种群平均适应值的变化来判断。若相邻若干代的种群平均适应值为变化或者是变化小于某一阈值,表示算法已经收敛,则退出算法。 选择算子:轮盘赌选择; 交叉算子:单点交叉,随机选择计算此适应度值,若大于当前最佳适应度值则降低交叉概率,否则不变; 变异算子:模板,对于优势个体,除采用低概率变异外,变异位置应采取权值越大,变异概率越小的原则,而对劣势个体则相反.-Paul used the choice of excellent conditions for the termination of genetic algorithm to determine is: a certain algebra. Could be improved as follows: adjacent to the average number of generations of populations to adapt to the changes to determine the value. Adjacent to several generations if the population average fitness for the change or changes in less than a threshold, that the algorithm has been convergence, then from the algorithm. Selection operator: roulette wheel selection crossover: single-point crossover, randomly selected to calculate the fitness value, if greater than the current best fitness value to reduce the probability of crossover, otherwise remain unchanged mutation operator: the template for advantage of the individual, with the exception of the use of low-probability variation, the variation of the location of the greater weight should be taken, the smaller the mutation probability principle, and that the opposite is true for the inferior individual.
Update : 2024-05-04 Size : 6144 Publisher : 棋子

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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!-Description of the procedures for genetic algorithms: fga.m main program for the genetic algorithm using binary Gray encoding, roulette wheel based on the law of non-linear ranking selection, uniform crossover and mutation operations, but also the introduction of the inversion operation!
Update : 2024-05-04 Size : 3072 Publisher : hexing

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遗产算法的完整计算,包括交叉,变异,以及适应函数的计算-Heritage integrity of the computing algorithm, including the crossover and mutation, as well as the calculation of fitness function
Update : 2024-05-04 Size : 1024 Publisher : maomao

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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!-fga.m the main program for the genetic algorithm using binary Gray encoding, roulette wheel based on the law of non-linear ranking selection, uniform crossover and mutation operations, but also the introduction of the inversion operation!
Update : 2024-05-04 Size : 17408 Publisher : 张生

本文提出了基于遗传算法的关联规则的提取方法,并从编码方法、适应度函数的构造、交叉算子和变异算子的设计等方面进行了详细都讨论和分析,并结合我校的智能型学生测评系统,给出了用遗传算法进行关联规则挖掘的实例。-This paper brings forward the algorithms based on the genetic algorithms of association rules,discusses and analyses the genetic algorithms in detail from coding method,fitness function,crossover operators,selection operators,mutation operators and other aspects.Associated with the Student Evaluation System,this paper gives the algorithms and program of mining association rule based on genetic algorithms.
Update : 2024-05-04 Size : 3673088 Publisher : yunzhang

The LatticeMico8™ is an 8-bit microcontroller optimized for Field Programmable Gate Arrays (FPGAs) and Crossover Programmable Logic Device architectures from Lattice. Combining a full 18-bit wide instruction set with 16 or 32 General Purpose registers, the LatticeMico8 is a flexible Verilog and VHDL reference design suitable for a wide variety of markets, including communications, consumer, computer, medical, industrial, and automotive. The core consumes minimal device resources, less than 200 Look Up Tables (LUTs) in the smallest configuration, while maintaining a broad feature set.-The LatticeMico8™ is an 8-bit microcontroller optimized for Field Programmable Gate Arrays (FPGAs) and Crossover Programmable Logic Device architectures from Lattice. Combining a full 18-bit wide instruction set with 16 or 32 General Purpose registers, the LatticeMico8 is a flexible Verilog and VHDL reference design suitable for a wide variety of markets, including communications, consumer, computer, medical, industrial, and automotive. The core consumes minimal device resources, less than 200 Look Up Tables (LUTs) in the smallest configuration, while maintaining a broad feature set.
Update : 2024-05-04 Size : 1155072 Publisher : 郭豪偉

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基本遗传算法程序,使用的是单点交叉,基本位变异算子可以求出函数的最优解,。-Basic genetic algorithm, the use of a single-point crossover, the basic bit mutation operator function can be obtained optimal solution.
Update : 2024-05-04 Size : 224256 Publisher : 张彩

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GA crossover analyse
Update : 2024-05-04 Size : 15360 Publisher : Neil

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用遗传算法求函数f=x+10*sin(5*x)+7*cos(4*x)的最大值点:简单的单点交叉、基本位变异、赌轮盘选择、随机产生初始种群中的个体,求的最好解是24.689。注:本算法基于matlab7.0,是我自己编写的,每个步骤都有详细的说明。适用于遗传算法初学者。-Using genetic algorithms for function f = x+10* sin (5* x)+7* cos (4* x) the maximum points: a simple single-point crossover, the basic bit mutation, roulette gambling options, randomly generated initial individual stocks, and the best solution is 24.689. Note: This algorithm is based on the matlab7.0, is what I have written, each of these steps are detailed. Genetic Algorithm for beginners.
Update : 2024-05-04 Size : 4096 Publisher : 竹子的信仰

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《MATLAB程序设计教程》电子教案~~~有助于matlab学习-" MATLAB Programming Guide" e-lesson plans ~ ~ ~ help matlab learning
Update : 2024-05-04 Size : 190464 Publisher : zhengzhaohui

Arith crossover takes two parents P1,P2 and performs an interpolation along the line formed by the two parents. - Arith crossover takes two parents P1,P2 and performs an interpolation along the line formed by the two parents.
Update : 2024-05-04 Size : 1024 Publisher : Aron

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matlab 的一些实例,希望对大家有所帮助,多多参考-matlab examples, I hope all of you to help, a lot of reference
Update : 2024-05-04 Size : 1024 Publisher : 高海龙

p1 - the first parent p2 - the second parent bounds - the bounds matrix for the solution space Ops - Options matrix for simple crossover-p1- the first parent p2- the second parent bounds - the bounds matrix for the solution space Ops - Options matrix for simple crossover
Update : 2024-05-04 Size : 1024 Publisher : Aron

Orderbased crossover takes two parents P1,P2 and performs order based crossover by Davis. -Orderbased crossover takes two parents P1,P2 and performs order based crossover by Davis.
Update : 2024-05-04 Size : 1024 Publisher : Aron

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粒子群算法 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。-pso 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。
Update : 2024-05-04 Size : 2048 Publisher : 刘丽

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利用ctc模式产生分频器。用atmega16单片机。有proteus仿真/。-Crossover use of patterns ctc. Single-chip microcomputer with atmega16. There proteus simulation /.
Update : 2024-05-04 Size : 30720 Publisher : 邢建鹏

多目标货物配装问题是一个复杂的组合优化问题,属于NP难问题,本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上,通过引进遗传算法中的交叉和变异的策略,避免了陷入局部最优,加快了达到全局最优的收敛速度。此外,本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。-Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard problems, this paper, hybrid particle swarm algorithm to solve multi-objective problem loading cargo. Hybrid Particle Swarm Algorithm in elementary particle swarm optimization based on genetic algorithm through the introduction of crossover and mutation of the strategy to avoid a fall into local optimum, global optimum to achieve accelerated convergence. In addition, this paper, the weight factor used to balance the various objectives so that the objectives can be achieved relatively better results.
Update : 2024-05-04 Size : 6144 Publisher : 廖志
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