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遗传算法c++程序
- 首先采用某种编码方式将解空间映射到编码空间，每个编码对应问题的一个解，称为染色体或个体。一般通过随机方法确定起始的一群个体，称为种群，在种群中根据适应值或某种竞争机制选择个体，使用各种遗传操作算子产生下一代如此进化下去，直到满足期望的终止条件。-begin using some form of coding mapping to the solution space coding space, each encoding a corresponding solution to the probl
PCMCIA
- THIS CODE AND INFORMATION IS PROVIDED \"AS IS\" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE IMPLIED WARRANTIES OF MERCHANTABILITY AND/OR FITNESS FOR A PARTICULAR PURPOSE.
改进遗传算法－郭涛算法做最优化问题很管用
- 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 algo
matlab fitness code
- 用matlab实现的贝叶斯网优化的fitness函数
fitness
- fitness,适应度函数，计算适应度函数，-fitness, fitness function, calculate the fitness function,
salesman-fitness
- Matlab中路径优化程序，销售员模式，最佳路径优化-Medium Matlab path optimization procedures, sales model, the best path optimization
fitnessfunction
- 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
fitness
- 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
FDRPSO
- code for fitness distance ratio PSO
GA_main
- 遗传算法整套源程序，包括初始种群，计算适应度值，选择，交叉变异等-Genetic algorithm source code package, including the initial population, calculation of fitness value, selection, crossover and other variant
PSO
- Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. Each particle keeps track of its coordinates
YTY_GA_Final
- To find the largest fitness value and its location 寻找最大适应性及相应的位置！ Population N=50；crossover bits=n/2 (half of bits of an individual) with random locations，mutation bits = 4 种群数 N=50，交换位数= n/2, 即个体位数的一半，且位置随机； 变异位数统一取为4； Nc=20，28，36，44，
fitness
- 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
fitness
- for ai to make combine with par. s. optimization and artificial neural network and this is a good way to make the fitness of it
fitness
- this the program for calculating fitness function
fitness-video-game
- 健身游戏机的设计模块 其中的核心模块控制器的设计-The core module of the controller design of the fitness video game design module which
fitness
- 这是一个输入自变量优化适应度子函数的源代码-Independent variables to optimize fitness subfunction
fitness-function
- totally fitness function for optimization algorithm
general PSO
- 基础的PSO代码，可直接加入fitness函数就最优解，接口简单
fitness
- 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