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binary
- 利用遗传算法求最小值，程序中求得是表达式x1*x1+x2*x2+x3*x3再-2~2上的最小值，以及对应的x值，算法中使用二进制编码，交叉采用不同交叉和优势交叉，变异也分两种，不用变异和优势变异-using genetic algorithms for the minimum, procedures to seek expressions x1 x1 x2 * * * x2 x3 x3 another 2 ~ 2 on the minimum, and the corresponding val
speedyGAv1.3.zip
- 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 and crossover mask pregeneration
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------ characteristics: strong convergen
A Comparison of Crossover and Mutation in Genetic
- 遗传算法的文章- Heredity algorithm article
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
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 wheel based on the law of non-line
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
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 uses real number encoding, the
psoMB
- this code written for solve a sample test function by pso based on mutation.
PSOGA
- PSO和GA的结合算法，对PSO中效果较差的粒子进行交叉和变异操作。-The combination of PSO and GA algorithm, PSO particles in the less effective cross and mutation.
Immunity-clone-algorithm-with-mutation-coevolution
- 利用免疫系统的克隆选择机制,提出一种用于函数优化的算法. 算法的主要特点是:在迭代过程中,不仅抗体得到进化,同时建立变异向量集,令变异向量同步进化,协同工作,达到优化的目的. 仿真实验表明,所提出的算法能以较快的速度完成给定范围的搜索和全局优化任务-By using the clonal selection echanism of the immune system , a method for function optimizing is proposed. The character of
Particle-algorithm
- 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。 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练
pso-with-mutation-operrator
- 带变异算子的粒子群优化算法,针算法存在易陷入局部最优点的缺点，提出带变异算子算法-Particle swarm optimization algorithm with mutation operator the needle algorithm easy to fall into the shortcomings of local minima, the proposed algorithm with mutation operator
function crossover mutation selection
- use crossover, mutation, selection
function crossover mutation selection
- 利用matlab实现变异，交叉，选择等功能(crossover, mutation with MATLAB)
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)
GBO加了柯西莱维
- 利用柯西突变策略和莱维飞行策略来提高GBO算法的开发和探索能力(The Cauchy mutation strategy and Levy flight strategy are used to improve the development and exploration ability of GBO algorithm)