Description: 改进遗传算法-郭涛算法做最优化问题很管用,算法的基本思想是
先任意产生n个随机数,然后从n个数里随机选择m个数,再有这m个
数合成一个新数,将这个新数同n个数中间适应值函数值的最差的比较,
如果好的话就取代最差的那个,如果它比最好的还要好的话,则把最好的
也取代。如果比最差的坏,则重新合成一个新数。依次循环下去。
程序的奇妙之处是GA_crossover()函数,产生的新数确实比较好,看看
那位大侠能改进一下,产生比这跟好的数。-improved genetic algorithm - Guo Tao done optimization algorithm is very effective, and the algorithm is the first basic idea arbitrary n generated random number and then the number li n m randomly selected number, and this number m of a new synthesis of the new middle with n number fitness function of the worst by comparison, if a good case to replace the worst, um, if it even than the best, then ruled the best have replaced. If worse than the worst, a de novo synthesis of new. Followed by the cycle continues. The magic of procedures is GA_crossover () function, the new really good to see heroes who can be improved upon, it generated more than a few with a good. Platform: |
Size: 2788 |
Author:龚文引 |
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Description: pso 程序,一共三个,DeJong.m,get_psoOptions.m,pso.m结合起来就可以了,直接拷到work目录下就可以运行,其中get_psooptions中可以改设置,变成自己的;
DeJong是适应函数,也可以改。-PSO procedures, a total of three, DeJong.m, get_psoOptions.m, pso.m combine, and they can work directly Manchester directory on the run, which get_psooptions can change settings, into its own; DeJong is the fitness function, but also to change. Platform: |
Size: 1011 |
Author:jun |
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Description: 遗传算法源代码,实现了选择操作、交叉操作和变异操作,通过适应度函数完成种群的选择及收敛。-genetic algorithm source code and realized the choice of operation, crossover and mutation operation, through fitness function completed Stocks choice and convergence. Platform: |
Size: 30590 |
Author:李文 |
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Description: 前段时间用JAVA改写的遗传算法,只需要改变编码位数,适应函数即可用于别的数值优化,极度适合JAVA的朋友-earlier with JAVA rewrite the genetic algorithm, only need to change the code, the median fitness function can be used for other numerical optimization, extremely suitable for Java friends! ! Platform: |
Size: 4609 |
Author:academic |
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Description: 转载得关于其它网站下载得关开发得关于遗传算法得工具箱源程序编写适应度函数-reproduced in other websites on download relevant in the development of the genetic algorithm in the toolbox prepared source fitness function Platform: |
Size: 146006 |
Author:raul |
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Description: 转载得有关利用遗传算法优化bp神经网络得源程序中得有关适应度函数编写-reproduced in the use of genetic algorithm optimization bp neural network in the source in the preparation of fitness function Platform: |
Size: 167670 |
Author:raul |
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Description: 这是我在解决电梯动力学参数写的简单遗传算法(程序带目标函数值、适应度值计算,但是我的适应度函数因为目标函数的计算很特殊,一起放在了程序外面计算,在此不提供)-This is my resolve to write lift kinetic parameters of a simple genetic algorithm (procedures with the objective function value, fitness terms, but my fitness function for the calculation of the objective function is unique. together on the outside of the program, this does not provide) Platform: |
Size: 44950 |
Author:周燕 |
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Description: 改进遗传算法-郭涛算法做最优化问题很管用,算法的基本思想是
先任意产生n个随机数,然后从n个数里随机选择m个数,再有这m个
数合成一个新数,将这个新数同n个数中间适应值函数值的最差的比较,
如果好的话就取代最差的那个,如果它比最好的还要好的话,则把最好的
也取代。如果比最差的坏,则重新合成一个新数。依次循环下去。
-improved genetic algorithm - Guo Tao algorithm optimization is the most effective. Algorithm for the basic idea is to have arbitrary n random number and then the number n m Lane randomly selected number, This again is an m number of new synthesis of the new middle with n number of fitness function of the worst, If good to replace the worst, um, if it is even the best than good, it serves the best have replaced. If worse than the worst, the re-synthesis of a new number. Followed the cycle continues. Platform: |
Size: 2214 |
Author:思寒 |
Hits:
Description: pso 程序,一共三个,DeJong.m,get_psoOptions.m,pso.m结合起来就可以了,直接拷到work目录下就可以运行,其中get_psooptions中可以改设置,变成自己的;
DeJong是适应函数,也可以改。-PSO procedures, a total of three, DeJong.m, get_psoOptions.m, pso.m combine, and they can work directly Manchester directory on the run, which get_psooptions can change settings, into its own; DeJong is the fitness function, but also to change. Platform: |
Size: 1024 |
Author:jun |
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Description: 基本粒子群优化算法Matlab源程序,其中的fitness函数可根据自己需要更改。-Elementary particle swarm optimization algorithm Matlab source code, in which the fitness function may need to change according to their own. Platform: |
Size: 4096 |
Author:徐楠 |
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Description: matlab最优化理论的实现,通过plot功能找出函数的极值问题 。-matlab optimization theory realization of function through the plot function to find the extremum problem. Platform: |
Size: 2487296 |
Author:吕铭守 |
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Description: 线性二次最优控制加权阵遗传算法优化适应度函数m文件;模糊控制器量化比例因子遗传算法优化适应度函数m文件-Linear quadratic optimal control weighted array genetic algorithm fitness function m documents quantization scale factor of fuzzy controller optimized by GA fitness function m file Platform: |
Size: 4096 |
Author:张立迎 |
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Description: 遗传算法中多点交叉算法来优化最小值函数所对应的解--适应度评价过程-Multi-point genetic algorithm to optimize the cross-algorithm corresponding to the minimum function of the solution- the fitness evaluation process Platform: |
Size: 3072 |
Author:zhaowei |
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Description: 用BP网络建立映射关系,为遗传算法提供适应度函数,通过改进遗传算法完成最小值优化-the mapped relation is built using BP network in order to provide fitness function for genetic algorithm. At last, optimization of minimum value is finished by genetic algorithm. Platform: |
Size: 1024 |
Author:wangchanglong |
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Description: 适应值的选取是一个重要的运算过程,我们应该选择合适的适应值函数,这样才能够很好的选择最佳的变量值-Fitness selection process is an important operation that we should select the appropriate fitness function, so that it can be a good choice of the best value of the variable
Platform: |
Size: 1024 |
Author:焦云雪 |
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Description: 基于遗传算法的适应函数MATLAB程序,可以直接使用-Based on genetic algorithm fitness function MATLAB program can be used directly Platform: |
Size: 1024 |
Author:马越 |
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