搜索资源列表
RAGA
- 实数编码遗传算法，采用自适应性变异，有范例，效果良好。-GA base on float,which use the auto-fitness mutation.
ga01
- 遺傳演算法是計算數學中用於解決最優化的搜索演算法，是進化演算法的一種。進化演算法最初是借鑒了進化生物學中的一些現象而發展起來的，這些現象包括遺傳、突變、自然選擇以及雜交等。-Genetic algorithm is used to solve mathematical calculations to optimize the search algorithm is a kind of evolutionary algorithms. Evolutionary algorithm was orig
simple_evolution_algorithm
- 一个简单的进化算法实现，包括选择、交叉、变异-A simple evolutionary algorithm, including selection, crossover, mutation
SimpleGA_1
- 实现简单的进化算法，实数编码，轮盘赌选择方式，单点交叉，均匀变异。-Simple evolutionary algorithms, real coding, roulette wheel selection method, single-point crossover, uniform mutation.
final
- 遗传 算法 ，基于matlab实现，通过选择、交叉、变异，经过多次的迭代从而找到最优个体-Genetic algorithm, based on matlab implementation, through selection, crossover, mutation, after several iterations to find the best individual
yichuansuanfahanshuyouhua
- 对遗传算法思想的理解和认识,对一个函数求其最小值，采用遗传算法的交叉，变异等特征进行优化求解-Genetic algorithms for understanding and awareness of thoughts, seeking the minimum of a function, using genetic algorithm crossover and mutation characteristics of the optimal solution
GA.ZIP
- 这是另一个采用FORTRAN语言编写的遗传算法的源程序，包括很多交叉和变异模型。-This is another use of FORTRAN language source of genetic algorithms, including a lot of crossover and mutation model.
MTT
- 气候分析中检验突变程序,滑动t检验法的Fortran程序-Climate Analysis mutation test procedures for sliding t test method of Fortran programs
backpack
- 用C#来实现遗传算法中的背包问题。其中只有变异过程。-Using C# to implement the genetic algorithm knapsack problem. Only mutation process.
AdapGA
- Srinvivas提出的自适应遗传算法，交叉概率和变异概率随适应度自动改变-Srinvivas proposed genetic algorithm, crossover probability and mutation probability automatically change with fitness
GMGA
- 大变异遗传算法以一个远大于通常的变异概率执行一次编译操作，从而使整体总群脱离“早熟”。-Genetic algorithm with a large variation is much larger than the mutation probability is usually compiled once operation, so that the overall total group from the " premature."
MATLAB
- 这是关于用MATLAB实现遗传算法程序的原理介绍，包括也选择、交叉、变异等算子的程序。-This is about using MATLAB genetic algorithm program to achieve the principle of descr iption, including also selection, crossover and mutation operators of the program.
PP
- 摘 要：0IE 问题是一个典型的优化组合问题，现在有很多解决的方法。本文针对遗传算法求解0IE 问题进行了研究，对 选择、交叉和变异算子进行了算法设计，最后在_ C- N软件上进行编程实现。结果表明，遗传算法在求解0IE 问题时具有 结果准确、收敛速度快等特点。 关键词：遗传算法；0IE 问题；最优化问题；_ C- N 软-Abstract: 0IE problem is a typical combinatorial
SJ
- UbW 遗传算法是近几年发展起来的一种崭新的全局优化算法， 针对 问题，编码规则通常是取 进制编码 ，即每个基 0IE B 它借用了生物遗传学的观点，通过自然选择、遗传和变异等作 因仅从 到 的整数里面取一个值，每个个体的长度为 ，为 -UbW genetic algorithm is developed in recent years, a new global optimization algorithm, solve the probl
TSP
- 遗传算法解决tsp问题 问题规模100，杂交，变异，变比，选择方法可选-Genetic algorithm to solve the problem scale of the problem tsp 100, crossover, mutation, transformation ratio, select the method of optional
ktaub
- Mann-Kendall 趋势分析，于进行m-k检验 突变所发生的时间-Mann-Kendall，used for testing mk mutation occurred at a time
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，
14
- 气候分析中检验突变的经典程序，如滑动t检验，cv，滑动f检验等-Climate Analysis classic mutation testing procedures, such as sliding t test, cv, sliding f inspection
yichuansuanfaVC
- 简单的遗传算法，介绍了编码，交叉变异的过程-Simple genetic algorithm, introduces the encoding, crossover and mutation process
MK
- 气象常用程序MK突变检验程序，包含了fortran程序及练习所使用的数据-Weather MK mutation testing procedures commonly used procedures, including the fortran program and the data used to practice