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A Comparison of Crossover and Mutation in Genetic
- 遗传算法的文章- Heredity algorithm article
mutation
- matlab程序 遗传算法变异程序 敬请各位高手指教-Matlab procedures genetic algorithm variation procedures you please enlighten master
matlab_RS
- matlab RS 分形程序，用于稳定性检验，也可以进行周期长度估计，当统计量图形形状发生变化，就发生突变，短期记忆消失-Fractal matlab RS procedures for stability testing, but also can estimate the cycle length, when the statistic graphics shape changes, on the mutation, the dis
PSO-evolutionarycomputation
- 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。详细的步骤以后的章节介绍 同遗传算法比
C-TSP
- 基于改进后的遗传算法 交叉、变异操作后，在windows平台下用C语言实现求解TSP问题-Based on the improved genetic algorithm crossover and mutation operation, in windows platform using C language for solving TSP problems
pso
- 改进的pso算法：引入变异算子，保持了种群的多样性，并提高了算法的全局搜索能力。-Improved PSO algorithm: the introduction of mutation operator to maintain the diversity of the population and improve the algorithm
GP
- 一种基于matlab的遗传规划编码程序 其中包含交叉和变异的代码-Based on the genetic programming matlab coding procedures of crossover and mutation which contains the code
mktest
- m-k检验，用于进行m-k检验 突变所发生的时间-mk test, used for testing mk mutation occurred at a time
psowithdate
- ％--- 名称：带交叉因子的改进PSO算法 ％------功能：求解多维无约束优化问题 ％------特点：收敛性强，还可以加入变异算子 ---- Name: with cross-factor function to improve the PSO algorithm------: Solving multi-dimensional unconstrained optimization problems------ cha
MK
- 气象上常用的检验突变的一个程序，也叫做MK算法 值需要添加文件路径，可直接运行-Weather on the commonly used mutation testing a procedure, also known as MK algorithm will need to add the file path value can be directly run
mutation
- 遗传算法的变异操作的源代码-Mutation operation of genetic algorithm source code
speedyGAv1.3
- 一种快速简单的遗传算法程序，基于Matlab7,加入特殊的交叉算子和变异算子，使算法更快。-SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language.SpeedyGA has been created and tested under Matlab 7 (R14). Added mutation an
PSOGA
- 带交叉因子的改进PSO算功能：求解多维无约束优化问题收敛性强，还可以加入变异算子-With cross-factor improvement of PSO operator functions: Solving multi-dimensional unconstrained optimization problem of strong convergence can also add mutation operator
ga1
- 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!-Descr iption of the procedures for genetic algorithms: fga.m main program for the genetic algorithm using binary Gray encoding, roulette whee
mutation
- matlab 的一些实例，希望对大家有所帮助，多多参考-reference no no no no no no no no no
aaaa
- 基于生物免疫系统的自适应学习、免疫记忆、抗体多样性及动态平衡维持等功能,提出一种动态多目标免疫 优化算法处理动态多目标优化问题.算法设计中,依据自适应ζ邻域及抗体所处位置设计抗体的亲和力,基于Pa- reto控制的概念,利用分层选择确定参与进化的抗体,经由克隆扩张及自适应高斯变异,提高群体的平均亲和力,利 用免疫记忆、动态维持和Average linkage聚类方法,设计环境识别规则和记忆池,借助3种不同类型的动态多目标
CMOBPSO
- OPSOCM: Opposition based PSO with Cauchy Mutation.
yichuansuanfa_jixieshou
- 提出一种改进的遗传算法用于求解机械手运动学逆问题. 该算法采用实数编码, 其交叉概率和变异 概率根据解的适应度函数值自适应调整. 计算机仿真结果显示, 该算法较简单遗传算法(SGA) 求解精度高, 收敛速度快且稳定性能好.-An improved genetic algorithm for solving the inverse problem of manipulator kinematics. The algorithm u
function crossover mutation selection
- use crossover, mutation, selection
function crossover mutation &selection
- 利用matlab实现种群的选择，交叉，变异等功能(realize of selection, mutation and crossover)