01 Knapsack problem Java Implementation

Source: Internet
Author: User

In the brush of the Huawei Machine test online programming, encountered a problem similar to 01 knapsack problems, a combination of some information, write some of their own understanding

01 knapsack problem is the problem of finding the maximum value under limited weighing capacity

Assume several parameters:

W[i]: The weight of the article I;

P[i]: The value of the first item;

V[I][J]: Indicates the maximum value of the total weight of J in the first I items;

V[i-1][j-w[i]]: Indicates the maximum value of the load-bearing capacity of the first i-1 items after the addition of the article I;

We analyze: Before adding the article I item, we have to consider want to add in, do not add in, then is v[i][j]=v[i-1][j], if add in, then V[i][j]=v[i-1][j-w[i]]+p[i]

Specific examples such as

There are five items numbered a,b,c,d,e, their weight is 2,2,6,5,4, their value is 6,3,5,4,6, now give you a load-bearing of 10 of the backpack, how to make the backpack loaded items have the greatest value of the sum?

The first thing to make clear is that the table is bottom-up, from left to right.

For the sake of convenience, using E2 cell to represent e Row 2 column cell, the meaning of this cell is used to indicate that only the item E, there is a load bearing 2 of the backpack, then the maximum value of this backpack is 0, because the weight of the E-item is 4, the backpack can not be loaded.

For D2 cell, it means that only the item e,d, the load-bearing 2 backpack, the maximum value that can be loaded, is still 0, because the item e,d is not the backpack can be installed.

In the same vein, c2=0,b2=3,a2=6.

Then the state transition equation can be expressed as:

V[i][j]=max{v[i-1][j],v[i-1][j-w[i]]+p[i]}

Then the code is implemented as follows:

Import java.util.*;p Ublic class Main {public static void main (string[] args) {//TODO auto-generated method Stubint Weight = 10;int n = 3;int[] W = {3,4,5};int[] p = {4,5,6}; System.out.println (Getmaxweight (W, p, weight, n));} public static int Getmaxweight (int[] W, int[] p, int weight, int n) {int[][] value = new Int[n+1][weight+1];for (int i = 1;i <=n;i++) {for (int j = 1;j<=weight;j++) {//When the item is weight j, if the weight of Part I (W[i-1]) is less than the weight J, C[i][j] is one of the following two cases://(1) Item I is not put in the backpack, So C[i][j] is the value of the c[i-1][j]//(2) item I into the backpack, the backpack remaining weight is j-w[i-1], so c[i][j] "c[i-1][j-w[i-1") value plus the value of the current item I if (W[I-1]<=J) { Value[i][j]=math.max (Value[i-1][j], value[i-1][j-w[i-1]]+p[i-1]);}} return value[n][weight];}}

  

01 Knapsack problem Java Implementation

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.