public class KnapsackProblem { /* 1. n个物品都是固体,有重量和价值 2. 现在你要取走不超过 10克 的物品 3. 每次可以不拿或全拿,问最高价值是多少 编号 重量(g) 价值(元) 0 1 1_000_000 钻戒一枚 1 4 1600 黄金一块 2 8 2400 红宝石戒指一枚 3 5 30 白银一块 */ static class Item
有了物品,有了方法,下面就是将两者结合起来的贪心算法GreedyAlgo void GreedyAlgo(KNAPSACK_PROBLEM *problem, SELECT_POLICY spFunc) { int idx; int sum_weight_current = 0; //先选 while ((idx = spFunc(problem->objs, problem->totalC- sum_weight_current)) != -1) { //再检查,是否能装进去 ...
Greedy algorithm for the general multidimensional knapsack problem. Ann Oper Res. 2007;150:17–29.Akcay Y, Li HJ, Xu SH (2007) Greedy algorithm for the general multidimensional knapsack problem. Ann Oper Res 150(1):17–29Akay, Y., Li, H.,and Xu, S., "Greedy algorithm for the ...
贪心算法(Greedy Algorithm)是一种在每一步选择中都采取在当前状态下最好或最优的选择,从而希望导致结果是全局最好或最优的算法策略。贪心算法不保证会得到最优解,但在某些情况下,贪心算法的解足够接近最优解,且计算过程简单、效率较高。 贪心算法的主要特点: 贪心选择性质:在每一步选择中都采取当前状态下的最优...
// knapsack.cpp : Defines the entry point for the console application. // #include "stdafx.h" #include <iostream> #include <vector> //物品的两个属性:重量和价值 typedef struct tagObject { int weight; int price; int status; //0:未选中;1:已选中;2:已经不可选 ...
Here, we will learn to use greedy algorithm for a knapsack problem with the example of Robbery using Python program.
Example of fractional knapsack for the following instance by using greedy approach in which maximum value, M =25kg. S.noWeightProfit 11030 2520 31540 4836 P= 30204036 W= 105158 Now we will calculate the profit per unit capacity of knapsack: P/W ...
Some common examples of problems that can be solved using Greedy algorithms include the Activity Selection Problem, Knapsack problem, the Minimum Spanning Tree problem, and the Huffman coding problem. We can take an example ofActivity Selection Problemto understand the greedy approach. This problem is...
For example, suppose we want to find the longest path in the graph below from root to leaf. Let's use the greedy algorithm here. Apply greedy approach to this tree to find the longest route Greedy Approach 1. Let's start with the root node20. The weight of the right child is3and ...
Greedy Algorithm贪心算法