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Description: 遗传算法的文章- Heredity algorithm article
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Size: 917504 |
Author: 顾凡一 |
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Description: 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
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Size: 1024 |
Author: 闫小月 |
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Description: 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 disappearance of short-term memory
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Size: 1024 |
Author: jiasen |
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Description: 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，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications
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Size: 22528 |
Author: zzh |
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Description: 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
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Size: 3072 |
Author: lc |
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Description: 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
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Size: 4096 |
Author: Jacky Gao |
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Description: 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
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Size: 28672 |
Author: 不吃萝卜的萝卜 |
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Description: 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
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Size: 1024 |
Author: 孙敏 |
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Description: ％--- 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 convergence, but also joined the mutation operator can
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Size: 5120 |
Author: 依然 |
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Description: 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
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Size: 2048 |
Author: monica |
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Description: 遗传算法的变异操作的源代码-Mutation operation of genetic algorithm source code
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Size: 1024 |
Author: yab |
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Description: 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.
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Size: 3072 |
Author: 竹子的信仰 |
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Description: 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
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Size: 2048 |
Author: 当当 |
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Description: 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!-Description 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-linear ranking selection, uniform crossover and mutation operations, but also the introduction of the inversion operation!
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Size: 3072 |
Author: hexing |
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Description: 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
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Size: 1024 |
Author: 高海龙 |
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Description: 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
测试问题,通过与出众的动态环境优化算法比较,数值实验表明所提出算法解决复杂动态多目标优化问题具有较大
潜力.-:A dynamic multi-objective immune optimization algorithm suitable for dynamic multi-objective
optimization problems is proposed based on the functions of adaptive learning, immune memory, antibody
diversity and dynamic balance maintenance, etc. In the design of the algorithm, the scheme of antibody af-
finity was designed based on the locations of adaptive-neighborhood and antibody antibodies participating
in evolution were selected by Pareto dominance. In order to enhance the average affinity of the population,
clonal proliferation and adaptive Gaussian mutation were adopted to evolve excellent antibodies. Further-
more, the average linkage method and several functions of immune memory and dynamic balance mainte-
nance were used to design environmental recognition rules and the memory pool. The proposed algorithm
was compared against several popular multi-objective algorithms by means of three different kinds of dy-
namic multi-objective benchmark problems. Simulations show
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Size: 499712 |
Author: 王飞 |
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Description: OPSOCM: Opposition based PSO with Cauchy Mutation.
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Size: 2048 |
Author: farrukh |
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Description: 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 crossover probability and mutation probability according to the fitness function value of solution adaptive. Computer simulation results show that the algorithm is relatively simple genetic algorithm for (SGA) for solving high precision, fast convergence and stable performance is good.
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Size: 143360 |
Author: 杨元龙 |
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Description: use crossover, mutation, selection
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Size: 10240 |
Author: cicily
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Description: 利用matlab实现种群的选择，交叉，变异等功能(realize of selection, mutation and crossover)
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Size: 10240 |
Author: cicicicil
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