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采用分枝限界法解决0/1背包问题!
本人上机实习作业,通过老师验收,合格!
针对部分上机实习的同学可以来下~-used Branch and Bound France 0 / 1 knapsack problem! I practice on the machine operations, acceptance by the teachers, qualified! In view of the attachment on the machine for students to the
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背包问题优先队列分枝限界算法
所谓的背包问题，可以描述如下：一个小偷打劫一个保险箱，发现柜子里有N类不同大小与价值的物品，但小偷只有一个容积为M的背包来装东西，背包问题就是要找出一个小偷选择所偷物品的组合，以使偷走的物品总价值最大。这个问题的求解有很多种方法，本程序使用分枝限界法求解。-knapsack problem Branch and Bound priority queue algorithm called knapsack problem can be described as f
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该程序用动态规划解决经典的背包问题,虽然它的效率与分支定界法比起来,还是有一定的差距,但它的简洁性却是无与伦比的.-the program with dynamic programming solution to the classic knapsack problem, although its efficiency and branch and bound over, there is still a certain gap, but its simplicity is incomparab
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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
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0/1背包问题的优先队列式分支限界算法程序-0/1 knapsack problem the priority queue-type branch and bound algorithm procedure
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背包问题分枝界限算法的源代码 其中包括背包容量、下限、剩余容量、当前价值之和
等-Branch-and-bound algorithm for knapsack problem of the source code including backpack capacity, the lower limit, the remaining capacity, the current value and so on
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用vc++6编写的程序，采用最大收益分枝定界法，解决背包问题。-Vc++6 prepared with the procedure for the maximum benefit from branch and bound method to solve knapsack problem.
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这是传统智能优化背包问题用VC++ 6.0的实现，是对背包问题分支限界的可视化算法实现-This is a traditional intelligent optimization knapsack problem VC++ 6.0 with the realization of knapsack problem is the visualization of branch and bound algorithm
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分支界限算法 ，用队列解决最优装载问题，跟背包算法有同样的功能-Branch and bound algorithm, the optimal loading queue to resolve the problem, with the same functionality Knapsack Algorithm
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1.分支界限算法背包问题 2.算法之分支限界法的旅行售货员问题-1. Branch and bound algorithm for knapsack problem 2. Branch and bound algorithm for the traveling salesman problem
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1.对多个链表进行操作
2.回溯法求解0/1背包
3.分枝限界法求解0/1背包
4.回溯法求解n—皇后问题
5.图的操作（邻接表表示）-1. Operate on multiple lists
2. Backtracking method for solving 0/1 knapsack
3. Branch and bound method for solving 0/1 knapsack
4. Backtracking to solve n-queens pr
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0-1背包问题的分支定界算法实现。包含优先队列的实现细节。-0-1 knapsack problem branch and bound algorithm. Priority queue that contains the implementation details.
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实现经典0-1背包问题，采用动态规划、分枝限界、回溯法、贪心算法等四个算法分别实现0-1背包问题，并有一个四合一的算法统一用四种方法实现。并对其时间复杂度进行了分析。-To achieve the classic 0-1 knapsack problem, dynamic programming, branch and bound, backtracking, greedy algorithm to achieve the four algorithms are 0-1 knapsack pro
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01背包问题的优先队列式分支限界算法程序实现-01 knapsack problem with priority queues to achieve branch and bound algorithm program
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实现0-1背包问题的优先队列分支限界算法
FIFO 分支限界算法
递归法 回溯法 动态规划算法-0-1 knapsack problem to achieve the priority queue FIFO branch and bound algorithms branch and bound backtracking algorithm recursion dynamic programming algorithm
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分支限界法、分治法、动态规划法常见代码，素数环问题、背包问题、抄写书稿问题。-Branch and bound method, divide and conquer, dynamic programming method common code, prime ring problem, knapsack problem, the problem copying the manuscr ipt.
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蛮力、动态规划、回溯、分支限界四种算法求解0/1背包问题-Four algorithms（brute force, dynamic programming, backtracking, branch and bound ） to solve 0/1 knapsack problem
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这是一个关于0-1背包问题算法的编程实现，包括了动态规划、分支界限、回溯、贪心算法-This is a 0-1 Knapsack Problem programming, including dynamic programming, branch and bound, backtracking, greedy algorithm
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A branch and bound algorithm for the 0-1 knapsack problem.
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本次实验选择0-1背包问题作为题目，通过使用动态规划、回溯法和分支定界法等算法来求解该问题，从而进一步的了解各种算法的原理、思路及其本质，深化对算法的了解，锻炼自己对各种算法的分析和使用，熟悉软件底层算法和界面编程。-The 0-1 knapsack problem was chosen as the subject, through the use of dynamic programming, backtracking and branch and bound method algorit
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