搜索资源列表
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.
360139
- In this paper, an attractive approach for teaching genetic algorithm (GA) is presented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation and selection
SGA
- 基本遗传算法代码实现，选择交叉变异 对于初学遗传算法的同志很有帮助，希望大家一起提高进步-Code to achieve the basic genetic algorithm, select the crossover and mutation genetic algorithm for beginners comrades helpful, hope all of us to improve progress
Xilinx
- 基于spartan V5的FPGA 分频器设计-Spartan V5 FPGA-based crossover design
floatExample
- This scr ipt shows how to use the GA using a float representation.Crossover Operators & Mutation Operators are used.
003-matlab-
- MATLAB智能算法30个案例分析源码，一元函数寻优，NIND=40 个体数目 MAXGEN=20 最大遗传代数 PRECI=20 变量的二进制位数 GGAP=0.95 代沟 px=0.7 交叉概率 pm=0.01 变异概率-Intelligent algorithm MATLAB source 30 case studies, one dollar function optimization, NIND = 40 the number of individuals MA
bga
- 遗传算法搜索最优解的方法是模仿生物的进化过程，即通过选择 与染色体之间的交叉和变异来完成的。遗传算法主要使用选择算子、交叉算子与变异算子来模拟生物进化，从而产生一代又一代的种群。 -Genetic algorithm searches the optimal solution is to mimic biological evolution, namely through crossover and mutation and chromosomal choose between to c
clock_speed
- fpga分频器设计。将高频时钟信号任意分频-fpga crossover design. The high frequency clock signal any divider
bascomavr-cursus
- CrossOver is a Microsoft Windows compatibility layer available for Linux distributions and for Mac OS X. This compatibility layer enables many Microsoft -CrossOver is a Microsoft Windows compatibility layer available for Linux distributions and for M
Untitled2
- 利用遗传算法的选择、交叉、变异功能来解决一元函数求最优值问题-The use of genetic algorithm selection, crossover and mutation function to solve a problem of the optimal value function uation dollar
duoyuanhanshuyouhua
- 利用遗传算法的选择、交叉、变异功能来解决多元函数求最优值问题-The use of genetic algorithm selection, crossover and mutation function to solve the problem of the optimal value of variable function
duoyuandanfenghanshuyouhua
- 利用遗传算法的选择、交叉、变异功能来解决多元单峰函数求最优值问题-The use of genetic algorithm selection, crossover and mutation function to solve the multi-function uation unimodal optimal value problem
Untitled3
- 利用遗传算法的选择、交叉、变异功能来求解De Jong函数优化问题-The use of genetic algorithm selection, crossover and mutation function to solve the function optimization problem De Jong
PSO_about
- 粒子群算法matlab代码吐血推荐。粒子群算法，也称粒子群优化算法，是近年来发展起来的一种新的进化算法。它是从随机解出发，通过迭代寻找最优解，通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。-PSO algorithm matlab cod
GA
- 遗传算法的基本代码，包括选择，交叉，变异。希望对大家有帮助~-Genetic algorithm code base, including selection, crossover and mutation. I hope everyone has to help ~
Genetic-Algorithm-Toolbox-v1.2
- 工作原理是通过模拟自然界中生物进化的过程，设计相应的进化算子和操作，来解决复杂的实际问题，是一种建立在自然选择和遗传学基础上的搜索寻优算法。它从一组随机产生的种群开始，这个种群由经过基因编码的一定数量的个体组成，按照适者生存和优胜劣汰的规则，通过比较每个个体适应度的大小，选择适应度较大的个体进行交叉、变异，产生的新一代更适应环境的种群参与进化。通过一代一代不断的繁衍进化，最终得到最适应环境的个体，即得到问题的最优解。-Works by simulating the process of biol
GASEIS3
- 遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，-GA MATLB program, there are genetic algorithm selection, crossover and mutation functions, some simple examples MABTLAB genetic algorithm!