搜索资源列表
蚂蚁算法求解TSP的源代码
- 基于C++开发的蚂蚁算法求解TSP的源程序。这种代码不多见哦，还不快下载。-C development based on the ant algorithm for TSP of the source. This code rare Oh, not faster download.
使用禁忌搜索法约求解瑟夫环改进算法
- 使用禁忌搜索法约求解瑟夫环改进算法，程序简单易懂。-use tabu search about solving Cerf Central improved algorithm, procedures simple and understandable.
迷宫求解(wjluo)
- 三种算法实现的迷宫出路求解，枚举、递归、还有栈。-three Algorithm way to solve the maze, enumeration, recursive, there are stacks.
求解野人与传教士问题
- 求解野人与传教士问题，利用C语言实现宽度搜索算法。
用遗传算法求解二维函数的最大值
- 用遗传算法求解二维函数的最大值问题，用matlab实现，但是不采用matlab遗传算法工具箱
利用遗传算法求解区间[0, 31]上的二次函数 y=x2的最大值
- 利用遗传算法求解区间[0, 31]上的二次函数 y=x2的最大值
TSPSA.模拟退火算法SA求解TSP旅行商问题
- 模拟退火算法SA求解TSP旅行商问题。可以自己设定初始温度和冷却温度,SA simulated annealing algorithm for solving traveling salesman problem TSP. Can be set for the initial temperature and cooling temperature
matlab--tsp tsp问题 旅行商问题 matlab求解
- tsp问题 旅行商问题 matlab求解 遗传算法-TSP problem traveling salesman problem with MATLAB genetic algorithm
原始对偶算法求解过指定顶点的最短路.rar
- 神经网络\原始对偶算法求解过指定顶点的最短路, The nerve network \ primitive antithesis algorithm solves has assigned the apex most to short-circuit
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- tsp遗传算法代码 利用交叉算子改进方法求解旅行商问题-tsp genetic algorithm code
GA_TSP
- 利用遗传算法求解TSP问题。TSP问题描述如下：给定一组n个城市和他们两两之间地直达距离，寻找一条闭合的旅程，使得每个城市刚好经过一次而且总的旅行距离最短。 -The use of genetic algorithm to solve TSP problem. TSP problem described as follows: given a set of n cities and they are between 22 to direct the distance of the journey
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.
tspsa
- 针对基于遗传算法的TSP 问题求解, 尝试了多种遗传操作, 分析了这些操作在遗传算法中的作用, 讨论了基因片段保序在利用遗传算法求解TSP 问题中的重要性.-Based on Genetic Algorithm for TSP Problem Solving, try a variety of genetic manipulation, analysis of these operations at the role of genetic algorithm discussed Orderin
genetic
- 使用遗传算法求解旅行商问题，城市数目及城市之间的距离通过txt文件来读入，然后输出求解过程及最后收敛到的最有路径-The use of Genetic Algorithm for Traveling Salesman Problem, the number of cities and the distance between cities through the txt file to read, and then output the solution process and the fina
QEAsolvePackage
- 最近两年比较流行的量子进化算法（QEA），能够求解一般的优化问题。算例是一个典型的背包问题（离散二值问题）。-The more popular the last two years the quantum evolutionary algorithm (QEA), be able to solve the general optimization problems. An example is a typical knapsack problem (discrete binary problem
4queen
- 四王后问题求解算法，用递归回溯算法求解。用C#编程，界面显示。-4queen
BFS 求解 N 皇后问题(252370)
- BFS算法实现N皇后问题，12个皇后是速度还行，超过了就有点慢。(BFS algorithm to achieve N queen problem, 12 queens is the speed is OK, more than a little slow.)
改进pso可以求解城市数量大的旅行商问题
- 城市数量最大的改进的粒子群算法求解旅行商问题(Particle swarm optimization for traveling salesman problem)
遗传算法求解多目标约束问题
- 包含了使用遗传算法求解多目标约束问题的matlab代码(this document includes the code of solving multi-object problem using gene algorithm)
梯度下降求解逻辑回归
- 用梯度下降求解逻辑回归基于python语言的实现(Using gradient descent to solve logistic regression based on Python language)