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qq
- 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
yichaunsuanfa
- 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 operati
DataminingBasedonGeneticAlgorithms
- 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 detai
LatticeMico8_v3_0_Verilog
- 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 r
vddbsga
- 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.
xujinpeng3.14
- 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
MATLAB
- 《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
arithXover.
- 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.
crossover
- 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
simpleXover
- 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 m
orderbasedXover.
- 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.
pso_vcpp
- 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
ctcoffenpin
- 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 /.
GoodsAllocatingProblemwithMultiAimsbasedonTheHybri
- 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 p
GA
- 详细介绍GA的PPT,编码,解码,选择,交叉,变异,都是很好的指导性材料-GA details of the PPT, encoding, decoding, selection, crossover and mutation, are very good guidance material
include
- 用遗传算法解根号2，求根号2，也就是求方程f(x)=x*x-2=0的正整数解，x=1时f(1)<0，x=2时f(2)>0，由介值定理，则1到2中间存在一个根，根据代数基本定理和根的对称性知这就是我们要找的根（废话，初中生都知道是1.414左右），由目标函数得到适应度函数，我们选择个体都在[1,2]之间，那适应度函数我可以取 j(x)=40/(2+|x*x-2|)-10，由x的取值范围知j的范围是(0,10) x和y交叉就用取平均(x+y)/2，交叉概率取0.9，变异概率为0，
gatb
- 程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数-Program demonstrates that the simple genetic algorithm with a random population, then according to the crossover rate, mutation rate, calculating the maximum number of generations where the fitness o
java_evolutionary_algorithms
- 用Java实现的进化算法包。包括遗传算法、粒子群算法、memetic算法和进化策略算法。-evolutionary-algorithm Evolutionary Algorithm package implemented using Java. The package serves as a foundation class library, supporting the implementation many variants of Evolutionary Algorith
yichuansuanfa
- 遗传算法，通过选择、交叉、变异求取函数最优解c程序简单实现，并拥有最优保存思想。-Genetic algorithm, selection, crossover and mutation to strike a function of the optimal solution c procedures are simple to achieve, and has saved the best idea.
hanshu
- MATLAB,通过遗传算法实现函数的最值问题，包含选择，交叉以及变异操作-MATLAB, through the genetic algorithm function, the most value problems, including selection, crossover and mutation operations