搜索资源列表
ych1
- 用遗传算法求解最短路径问题-Genetic Algorithm for the shortest path problem
解决TSP的遗传算法
- 对于具有一定规模的TSP问题的求解，至今没有较完善的求解办法。本程序是用遗传算法来求解TSP问题。-for a certain size of the TSP solution and there has been no better way to solve. This procedure is used genetic algorithms to TSP.
Genetic最短路径
- 在vc控制台中运行，用遗传算法求解最短路径，用邻接矩阵表示路线图。-in vc console operations, Genetic Algorithm for the shortest path, adjacency matrices road map.
knapGa
- 用C#开发的用遗传算法求解0-1背包问题的源代码。-C# development of the genetic algorithm 0-1 knapsack problem's source code.
TSPGA
- 用C#编的用遗传算法求解旅行商（TSP）问题的源代码。-with C# Part of the Genetic Algorithm for TSP (TSP) of the source code.
Back_up_tsp_test
- 这是一篇关于遗传算法求解TSP问题的源码,用C++编写,带注释.-This is a genetic algorithm for TSP source code, the C preparation, with the Notes.
luxingshang
- 用C编的遗传算法求解旅行商问题的源码-C series of the Genetic Algorithm for the Traveling Salesman Problem source 000000000000000000
GA_for_TSP
- 用遗传算法求解背包问题是南京航空航天大学信息与计算科学专业编写的.本程序利用遗传算法来求解背包问题.采用二进制字符串编码,1表示选择物体,0则不选择. 背包问题描述:在M件物品取出若干件放在空间为W的背包里，每件物品的重量为W1，W·2……Wn，与之相对应的价值为P1,P2……Pn。求出获得最大价值的方案。注意：在本题中，所有的重量值均为整数。-genetic algorithm knapsack problem is the N
GAsxmx
- 用遗传算法求解数学模型中参数的应用实例，亲自编写-genetic algorithm mathematical model parameters of application examples, personally prepared
TSP_GA
- 用遗传算法求解TSP（旅行商）问题，按照TSP1.m中的格式输入程序参数即可。-Genetic Algorithm with TSP (traveling salesman) problems, in accordance with the format in TSP1.m parameter entry process.
GAProblem
- 用遗传算法求解函数极值，直接在matlab中运行即可。 -Using genetic algorithm function extremum, directly in matlab can run.
GA-TSP
- 该程序用遗传算法求解TSP问题，得到了比较优的解，初学者可以参考。-The procedure for solving TSP using genetic algorithms problems, have been relatively superior solutions, beginners can refer to.
TSP
- 用遗传算法解决旅行商问题，并用图形界面显示出来。比较了分别采用轮盘赌选择算子和锦标赛选择算子的遗传算法求解TSP问题的性能，包括：运行时间、进化总代数和最优解质量。 结果曲线可以用图形显示出来。-Genetic algorithm is used to solve the traveling salesman problem, and use graphical interface is displayed. Compared usin
GATSP
- 用遗传算法求解旅行商问题的matlab程序 （详细说明见文本）-Using Genetic Algorithm for Traveling Salesman Problem matlab program (a detailed explanation see the text)
tsp
- 使用遗传算法求解邮递员问题，从而可以同时求得多个最优解-The use of genetic algorithm postman problem, which can be obtained at the same time more than the optimal solution
generic_tsp
- 用遗传算法求解TSP问题，种子数100，遗传概率和交叉概率可以在源程序中修改。-Genetic Algorithm with TSP problem, a few hundred seeds, genetic probability and crossover probability can modify the source program.
遗传算法
- 使用遗传算法求解多元函数最值，希望要用到的同学能有所帮助(Genetic algorithm is used to solve the maximum value of multivariate function)
简单一元函数优化求解
- 用遗传算法求解简单一元函数，求解过程高效可靠，是好多书的例题程序(Solving simple unary function by genetic algorithm)
遗传算法 车间调度 甘特图 代码
- 修改了网上不对的程序，可以用遗传算法求解。并画出甘特图(Modified the wrong program on the Internet, which can be solved by genetic algorithm. And draw Gantt chart.)
用遗传算法求解多目标函数优化
- 多目标函数，在多个约束条件的情况下用遗传算法找出最优解(Multi-objective function, using genetic algorithms to find the optimal solution under multiple constraints)