搜索资源列表
背包问题
- matlab背包问题 密码2347725-knapsack problem Matlab code 2347725
背包程序
- 用matlab写的背包程序代码
sa_01.zip
- 本程序是在MATLAB平台上面实现的用模拟退火算法解决01背包问题。,This procedure is in the MATLAB platform achieved with simulated annealing algorithm to solve knapsack problem 01.
matlab.rar
- 不错的程序,欢迎下载,登山算法,解决背包问题,不错,Good program, please download, climbing algorithm to solve knapsack problem, yes
xujinpeng-matlab.rar
- 遗传算法编程求解旅行商问题;图论中最短路问题的Matlab程序实现;背包问题模型的Matlab程序实现。,Genetic Algorithm for Solving Traveling Salesman Problem programming graph theory, shortest path problem in the Matlab program implementation knapsack problem Matlab model implementation process.
GQA.rar
- 遗传量子算法求解背包问题Matlab源码,Quantum Genetic Algorithm for Knapsack Problem
test-data-for-01-knapscap-problem
- 这个是用于01背包问题的测试数据,很多论文都用这其中的数据集来测试-This is a knapsack problem for the 01 test data, a lot of papers with which the data set to test
beibao
- 背包问题,可以解决最短路径问题,或优化问题-Knapsack problem, the shortest path problem can be solved, or optimization problems
SimulatedAnnealingAlgorithm
- matlab编制的用模拟退火算法解决0-1背包问题的具体实例-matlab prepared using simulated annealing algorithm to solve 0-1 knapsack problem specific examples of
an
- 利用模拟退火解决0-1背包问题,适合初学者。-The use of simulated annealing to solve 0-1 knapsack problem, suitable for beginners.
GA
- 本程序是在MATLAB平台上,利用智能优化算法遗传算法来解决01背包问题。在0 / 1背包问题中,需对容量为c 的背包进行装载。从n 个物品中选取装入背包的物品,每件物品i 的重量为wi ,价值为pi 。对于可行的背包装载,背包中物品的总重量不能超过背包的容量,最佳装载是指所装入的物品价值最高。-This procedure is in the MATLAB platform using intelligent genetic algorithm optimization algorithm t
NIP
- matlab 7.0 以上版本提供了强大的优化工具箱,但在整数规划方面,只提供了bintprog()这个m文件以求解0-1整数规划,而对于一般的整数规划模型没有具体的算法提供。我们一般情况只是用最简单的分值定界思想编写matlab程序求解整数规划问题,但效率低下,如何利用求解整数规划的先进算法编写matlab程序提上日程,香港大学的李端和复旦大学编写的《Nonlinear Integer Programming》(非线性整数规划)为编写解决整数规划问题提供强大有效的算法,其中算法针对具体问题包括
0-1-knapsack-problem
- 模拟退火解决0-1背包问题,初学者可以借鉴-Simulated annealing to solve 0-1 knapsack problem, beginners can learn from
TSP
- 解决背包问题 自动求解最大价值 利益最大化问题-Automatically solve the Knapsack Problem to maximize the interests of maximizing the value of solving the problem
yichuansuanfa
- 将贪婪修复方法与遗传算法相结合,构成混和遗传算法,并求解经典背包问题。-The greedy repair method and genetic algorithm are combined to form hybrid genetic algorithm, and solve the classical knapsack problem.
knapsackAlgorithm
- 遗传算法实现背包问题的matlab代码,分享给大家-Knapsack problem genetic algorithm matlab code to share for everyone
39975737MATLAB_gatool
- 解决0-1背包问题的遗传算法matlab程序,欢迎交流提高。-Solve the 0-1 knapsack problem genetic algorithm matlab program, welcomed the exchange increased.
背包问题
- 算法效果较为良好,实现背包问题价值最大,采用遗传算法实现的比较不错的结果(The algorithm effect is good, the maximum value of the knapsack problem, genetic algorithm is used to achieve good results)
遗传算法解决背包问题
- 遗传算法解决背包问题,matlab环境实现c流程(Solving knapsack problem by genetic algorithm)
matlab程序(解决0-1背包问题)
- 使用遗传算法解决0-1背包问题,调试成功,非常适合初学者了解遗传算法和0-1背包问题(Using genetic algorithm to solve 0-1 knapsack problem, debugging is successful. It is very suitable for beginners to understand genetic algorithm and 0-1 knapsack problem.)