搜索资源列表
ga
- 用遗传算法实现一个函数值的最优解,用VC编译的
geneticagorithm
- 用改进的遗传算法求解多峰函数的全局最优解-Genetic algorithm for multimodal function global optimal solution.
GA2
- 遗传算法求解多元函数优化问题，利用遗传算法经过50代左右求得函数的最优解。-Genetic algorithm for multi-function optimization problems using genetic algorithms to obtain the optimal solution of the function after about 50 generations.
yichuansuanfa
- 遗传算法（Genetic Algorithm），是一种通过模拟自然进化过程搜索最优解的方法，提供了C语言编码-GA (Genetic Algorithm), is a natural evolutionary process by simulating the optimal solution search method provides a C language code
GAstonefitness
- 利用matlab中关于遗传算法的函数求解函数的最优解，这是一个段示例-Genetic algorithm using matlab function regarding the optimal solution for solving function, which is an example of a segment
GA_test
- 遗传算法经典问题，GA求公式最优解，个人手写源代码。公式为f(x1,x2) = 21.5 + x1*sin(4*Pi*x1) + x2*sin(20*Pi*x2)。最优解达38.850252-Classical genetic algorithm problem, GA seeking the optimal solution formula, personal hand-written source code. The formula for f (x1, x2) = 21.5+ x1* si
two-x
- 基于遗传算法求解函数优化,实现两个变量的函数最优解-Optimal function of genetic algorithm optimization function to achieve based on two variables
biobjective
- 双目标遗传算法 程序包含 交叉 变异 迁移 解码 编码 选择 以及pareto最优解 可以运行-Dual objective genetic algorithm program includes crossover and mutation migration decoding and encoding options and pareto optimal solution can run
nsga2
- 多目标遗传算法，求得pareto最优解集，可以用于各种工程的数学计算-Multi-objective genetic algorithm, pareto optimal solution set is obtained, can be used for a variety of engineering mathematics
ga
- 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。(Genetic algorithm (Genetic Algorithm) is a computational model for simulating the evolutionary process of natural selection and genetic mechanism of Darwin's theory of b
GA
- 使用遗传算法求解有限制的多元函数的最优解(Using genetic algorithm to solve the optimal solution of restricted multivariate functions)