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adaptive-genetic-algorithm
- 自适应GA SVM 参数选择算法研究Param eter selection algorithm for support vector machines based on adaptive genetic algorithm 支持向量机是一种非常有前景的学习机器, 它的回归算法已经成功地用于解决非线性函数的逼近问题. 但 是, SVM 参数的选择大多数是凭经验选取, 这种方法依赖于使用者的水平, 这样不仅不能获得最佳的函数逼近效果, 而且采用人工的方法选择 SVM 参数比较浪费
genetic-algorithm
- 自然计算中遗传算法的各个程序，matlab环境下开发的源代码。best.m 求种群中适应度最大的值 calfitvalue.m 计算每个个体的适应度 calobjvalue.m 适应度函数 crossover.m 交叉变换 decodebinary.m 将二进制数转换成十进制数 decodechrom.m 将二进制数转换成十进制数 initpop.m 产生初始种群 mutation.m 变异 selection.m 选择合适的个体进行复制 main.m 主函数
Gray-code
- 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 main program for the genetic algorithm uses a binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation, but also
clk_div
- 任意整数分频器，通过改变参数，可设置所需要的分频频率和占空比-Arbitrary integer divider, by changing the parameters, you can set the desired crossover frequency and duty cycle
GA
- 遗传算法求函数最值问题 matlab代码 使用轮盘赌选择 交叉 变异-Genetic algorithm for function most value problem matlab code crossover and mutation using the roulette wheel selection
yichuansuanfa
- 遗传算法求解TSP问题，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!-Genetic algorithm for solving TSP problem, using the binary Gray code, based on the roulette wheel method of non-linear ranking selection, uniform crossover, mutation, but also introduce
modified_tsp
- i m trying to modified Joseph Kirk work on TSP GA here but failed miserably. Trying to modify the operators from using mutation to crossover. Then try to implement it using the map toolbox and input city coordinates, but also fail. Help me please
Electricity-
- 遗传算法的参数中，交叉概率Pc和变异概率Pm的选择是影响遗传算法行为和性能的关键所在，直接影响着算法的收敛性。-The parameters of the genetic algorithm, the crossover probability and mutation probability of Pc Pm choice is influence behavior performance of genetic algorithm and the key, the direct impact
Railway--
- 遗传算法的参数中，交叉概率Pc和变异概率Pm的选择是影响遗传算法行为和性能的关键所在，直接影响着算法的收敛性。-The parameters of the genetic algorithm, the crossover probability and mutation probability of Pc Pm choice is influence behavior performance of genetic algorithm and the key, the direct impact
Research-of-Tool-Wear-
- 遗传算法的参数中，交叉概率Pc和变异概率Pm的选择是影响遗传算法行为和性能的关键所在，直接影响着算法的收敛性。-The parameters of the genetic algorithm, the crossover probability and mutation probability of Pc Pm choice is influence behavior performance of genetic algorithm and the key, the direct impact
GA(matlab)
- 三个matlab实现的遗传算法，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-Three matlab genetic algorithm implemented using a binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation, but also introduces the inversi
GA
- 遗传算法（Genetic Algorithm，GA）是一种进化算法，其基本原理是仿效生物界中的“物竞天择、适者生存”的演化法则。遗传算法的做法是把问题参数编码为染色体，再利用迭代的方式进行选择、交叉以及变异等运算来交换种群中染色体的信息，最终生成符合优化目标的染色体。-Genetic Algorithm (Genetic Algorithm, the GA) is a kind of evolution Algorithm, the basic principle is to imitate p
hybrid-particle-swarm-optimization
- 3种分别基于选择、交叉、模拟退火的混合粒子群算法，matlab编程。-Were based on three kinds of selection, crossover, hybrid particle swarm simulated annealing algorithm, matlab programming.
GenerateNextPopulation
- 产生未来人口：选择，交叉和变异重现染色体比例选择。-generate next population:select,crossover and mutate to reproduce a chromosome by proportional selection.
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- fga.m main program for the genetic algorithm binary Gray coding, using roulette-based non-linear ranking selection, uniform crossover and mutation operators, but also introduces t
AIS
- 免疫遗传算法matlab 程序,该算法包含抗原识别、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) -immune genetic algorithm Matlab procedure, the algorithm by antigen identification, initial antibody, fitness, to the memory cells, antibody for the promotion and inhibition, antibo
genetic-algorithm-based-on-matlab
- genetic algorithm based on matlab，The Genetic Algorithm (GA) is a good method to solve optimization problems. Genetic algorithms are search and optimization methods based on natural evolution. They consist of a population of bit strings transfo
ga
- 遗传算法的matlab源代码，包含了从基本遗传算法到，自适应，多种交叉方式等遗传算法的源代码-Genetic algorithm of matlab source code, including from the basic genetic algorithm to, adaptive, a variety of crossover modes and genetic algorithm of source code
mutandcross
- crossover and mutaion for binary genetic algorithm
PSO_PID
- 免疫粒子群算法用于PID整定。采用线性惯性系数，自适应交叉变异方法-AI-pso for PID tune.Using a linear inertial coefficient, adaptive crossover and mutation methods