搜索资源列表
a
- 基于矩阵实数编码遗传算法求解大规模机组组合问题-Matrix-based real-coded genetic algorithm for solving large-scale unit commitment problem
Based_on_genetic_algorithm_for_solving_knapsack_pr
- 背包问题,遗传算法,GAs,基于遗传算法求解背包问题,源码,方法-Knapsack problem, genetic algorithms, GAs, Knapsack Problem Based on Genetic Algorithm
java
- 用Java实现遗传算法的 标准遗传算法求解函数原程序-A genetic algorithm with the standard Java Genetic Algorithm for Function of the original program
TSP
- 利用遗传算法求解旅行商问题 旅行商问题,即TSP问题(Travelling Salesman Problem)是数学领域中著名问题之一。假设有一个旅行商人要拜访n个城市,他必须选择所要走的路径,路经的限制是每个城市只能拜访一次,而且最后要回到原来出发的城市。路径的选择目标是要求得的路径路程为所有路径之中的最小值。 -Traveling salesman problem using genetic algorithm traveling salesman problem, namely, th
QGA_for_Diameter2_degree
- 毕业论文,用量子遗传算法求解图的度/直径-2问题源码-版本1_0-source code of postgraduate thesis--QGA to solve Diameter-2/Degree problem
Matlabgeneticalgorithm
- 用遗传算法求解约束问题,用matlab编程-Using genetic algorithm, the use of matlab constraint problems
VB_knapsack_problem_genetic_algorithm_code
- VB背包问题遗传算法求解的源码实例VB knapsack problem genetic algorithm source code examples-VB knapsack problem genetic algorithm source code examples
genetic-algorithm
- 用基本遗传算法求解一维无约束优化问题 用顺序选择遗传算法求解一维无约束优化问题 用动态线性标定适应值的遗传算法求解一维无约束优化问题 用大变异遗传算法求解一维无约束优化问题 用自适应遗传算法求解一维无约束优化问题 用双切点遗传优化求解一维无约束优化问题 用多变异位自适应遗传优化求解一维无约束优化问题 -The basic genetic algorithm with one-dimensional sequence of unconstrained optimizat
chengxu
- 本文中利用遗传算法求解的问题为最短路径,该问题可描述为:在某大学校园内有多个场所,各场所之间有一个相关的距离cij ,目标就是要寻找一条从指定的起点 s 到指定的终点 t 的一条路径,使总距离最小。-This paper the problem using genetic algorithm for the shortest path, the problem can be described as: a university campus in a number of places, the
ga-funtion-Matlab
- 遗传算法求解函数优化问题的实现,多目标,最优解-Genetic Algorithm for Function Optimization implementation
myGA
- 用基本遗传算法求解一维无约束的优化问题。-The basic genetic algorithm with a one-dimensional unconstrained optimization problem
遗传算法求解机组组合问题
- 通过利用遗传算法去解决机组组合问题。最终通过运行程序得到了机组组合问题的优化方案。
单变量遗传算法
- 单自变量遗传代码实例,非工具箱编写,可以更改目标函数,完成这一系列的最值问题求解。(Example of single independent genetic code)
MATLAB智能算法(遗传_神经网络_蚁群_免疫)
- 针对matlab中智能算法工具箱求解多目标函数问题是用遗传算法工具箱更加方便的计算多约束优化问题。(Aiming at the problem that multi-objective function is solved by using the intelligent algorithm toolbox in matlab, it is more convenient to calculate multi-constrained optimization problem with genet
GA-TSP
- 利用遗传算法求解旅行商问题,求解100城市的最短路程(Using GA to solve TSP problem)
yccs
- 运用经过改进的遗传算法解决kp问题,初始条件在run中修改(Genetic algorithm to solve KP problem)
遗传算法程序
- 主要功能利用选择,交叉,变异等遗传学方法,实现最优值求解。(The main functions of selection, crossover, mutation and other genetic methods to achieve the best value solution.)
GA
- 遗传算法求解简单的约束条件,算法简单,容易理解,成勋后面有标注(The constraint conditions of simple genetic algorithm, the algorithm is simple and easy to understand, behind the sung hoon has marked)
maxga1
- 遗传算法求解最大值,自己写的程序,适合初学遗传算法者(Genetic algorithm to solve the maximum)
yichuan
- 这是用c语言编写的用于求解函数的最值问题的遗传算法代码(the code of genetic algorithm)