1)从主函数看起,首先是初始化数据的输入,然后是 GreedyAlgo(&problem, Choosefunc1);这里用了个typedef int (*SELECT_POLICY)(std::vector<OBJECT>& objs, int c);(*SELECT_POLICY)的指针函数来表示选择不同的Choosefunc1、Choosefunc2、Choosefunc3. 2)不同的
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 if ((sum_weight_current + problem->objs[idx].weight) <= ...
如何证明Greedy Algorithm的正确性? 1) 贪心例子 称之为贪心算法或贪婪算法,核心思想是 将寻找最优解的问题分为若干个步骤 每一步骤都采用贪心原则,选取当前最优解 因为没有考虑所有可能,局部最优的堆叠不一定让最终解最优 贪心算法是一种在每一步选择中都采取在当前状态下最好或最优(即最有利)的选择,从而希望...
local search algorithm is complementary to greedy start with an arbitrary complete solution (e.g. random or greedy solutino) iteratively make some modifications to the solution to improve the value LS: benefits Simple Greedy Things always improve! Can stop early and get... something LS: drawbac...
Y. Lun, ``Greedy-knapsack algorithm for optimal downlink resource allocation in LTE networks,'' Wireless Netw., vol. 22, no. 5, pp. 1427-1440, Jul. 2016.N. Ferdosian, M. Othman, B. M. Ali, and K. Y. Lun, "Greedy-- knapsack algorithm for optimal downlink resource allocation in ...
「貪婪演算法(greedy algorithm / greedy method)」指的是依照每個步驟「當下」的狀況找到最佳解,但若從大局來看,可能不是最佳的解決方案。 現假設要在下圖中,找出從 A 走到 D 的最短路徑: 根據「貪婪演算法」,從 A 出發時最短路徑長為 2,取該路徑到 B;從 B 離開時最短路徑長為 1,取該路徑到 C;從...
Here, we will learn to use greedy algorithm for a knapsack problem with the example of Robbery using Python program.
Greedy Algorithm贪心算法
Knapsack problem using greedy By Sakalya, 13 years ago, Can anybody give me complete C program for solving Knapsack problem using greedy algorithm?? Thanks in advance!!!greedy -22 Sakalya 13 years ago 2 Comments (1) Show archived | Write comment? yeputons 13 years ago, # | 0 Kn...
the thief will take 1 of the 6-Liter items instead of 2 of the 5-Liter items. Although this means the thief will only profit $9 instead of $10, the decision algorithm is much simpler. Maybe the thief is bad at math. Now, go be bad at math!