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0-1beibaowenti
- 用C#编写的利用遗传算法解决0-1背包问题的源程序，希望对需要的朋友有所帮助-C# prepared with the use of genetic algorithm to solve the 0-1 knapsack problem source, and they hope to help a friend in need
knapsack
- 0—1背包问题的五种解法 1贪心法 2动态规划 3回溯 4分支限界 5遗传算法-0-1 knapsack problem greedy algorithm five Solution 1 2 3 back in 4 dynamic programming genetic algorithm branch and bound 5
knappara
- 本程序实现0-1背包问题的遗传算法的并行计算，mpi+c语言-This procedure achieved 0-1 knapsack problem genetic algorithm parallel computing, mpi+ c language
Knapsack_V6.0
- vc实现的0-1背包问题，一般递归方法，动态规划方法和贪心方法-vc achieved 0-1 knapsack problem, the general recursive method of dynamic programming methods and greedy method
zero_one_question
- 算法中的经典问题：0——1 背包问题 在该程序中运用了动态规划算法成功解决了0——1背包问题-Classic problem of algorithm 0- 1 knapsack problem in the process use of dynamic programming algorithms succeeded in solving 0- 1 Knapsack Problem
sd
- 大家看看 0-1背包的分支界限程序-We look at the 0-1 Knapsack procedures branch boundaries
Knapsack
- 我自己做的一个0-1背包问题程序 用回溯法 做的 望大家分享 请指正-I own a 0-1 knapsack problem with retroactive law procedures do hope to share, please correct me
beibao
- 0-1背包问题:输入两个整数n和m,从数列1，2，3....n中随意取几个数，使得其和等于m，求所有组合-0-1 knapsack problem: Enter the two integers n and m, from a series of 1,2,3 .... n grab a few numbers and make it equal to m, for all combinations
01beibao3
- 0-1背包问题 将计算出的装入背包物品的最大价值和最优装入方案输出。第一行输出为：Optimal value is-0-1 knapsack problem will be calculated into the knapsack to maximize the value of goods and optimum output load program. The first line of output: Optimal value is
Knapsack
- 0-1背包问题， 0-1背包问题 Version 1.0 2008-10-28-0-1 knapsack problem, 0-1 knapsack problem Version 1.02008-10-28
exp3
- 著名的0-1背包问题 C++实现 矩阵显示过程-Well-known 0-1 knapsack problem C++ Realization process matrix display
exp4
- 部分背包问题（不同于0-1背包） C++实现-Part knapsack problem (as distinct from 0-1 knapsack) C++ Achieve
c
- 用回溯法求解0—1背包问题，并输出问题的最优解。-Retrospective method with 0-1 knapsack problem, and output the optimal solution of the problem.
report+of+Algorithm
- 算法设计的实验报告 包括Bottom-Up Merge Sorting算法、插入排序算法Heaps的创建堆、堆排序算法、按秩合并算法以及带路径压缩算法、实现查找第K小元素算法、实现快速排序算法、实现平面内最接近点对算法、实现最长公共子序列算法、实现矩阵链相乘算法、实现0/1背包问题算法、实现Dijistra’s算法、Prim算法、Kruskal算法、文件压缩算法-Experimental Algorithm Design Report including Bottom-Up Merge So
BeiBao1
- 动态规划算法求解0-1背包问题,动态规划算法knapsack求最优值-Dynamic programming algorithm for solving 0-1 knapsack problem, dynamic programming algorithm for optimal value knapsack
bag
- 分支限界法解决0/1背包问题，用c++的优先队列方法-Branch and bound method to solve 0/1 knapsack problem, using c++ Priority queue method
simulatedannealingalgorithm
- 关于模拟退火算法的书籍,以及在0-1背包问题、旅行商问题上的实现-a book about simulated annealing algorithm
Based
- 基于遗传算法的0-1背包问题的求解，可进一步另深对遗传算法理解，学习算法分析与设计的可以-Based on Genetic Algorithm for Solving 0-1 Knapsack Problem
package-algorithm
- 0、1背包算法，一个包内存放不超过限制重量的物体，同时价值最大-0、1 package algorithm
1108
- 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，即n ?i=1pi xi 取得最大值。约束条件为n ?i =1wi xi≤c 和xi?[ 0 , 1 ] [ 1≤i≤n]。-At 0/1 knapsack problem, there is a need for a capacity of c for the loaded