Java Program for Activity Selection Problem | Greedy Algo-1
You are given n activities with their start and finish times. Select the maximum number of activities that can be performed by a single person, assuming that a person can only work on a single activity at a time. Example:
Example 1 : Consider the following 3 activities sorted by finish time. start[] = {10, 12, 20}; finish[] = {20, 25, 30}; A person can perform at most two activities. The maximum set of activities that can be executed is {0, 2} [ These are indexes in start[] and finish[] ] Example 2 : Consider the following 6 activities sorted by finish time. start[] = {1, 3, 0, 5, 8, 5}; finish[] = {2, 4, 6, 7, 9, 9}; A person can perform at most four activities. The maximum set of activities that can be executed is {0, 1, 3, 4} [ These are indexes in start[] and finish[] ]
Java
// The following implementation assumes that the activities // are already sorted according to their finish time import java.util.*; import java.lang.*; import java.io.*; class ActivitySelection { // Prints a maximum set of activities that can be done by a single // person, one at a time. // n --> Total number of activities // s[] --> An array that contains start time of all activities // f[] --> An array that contains finish time of all activities public static void printMaxActivities( int s[], int f[], int n) { int i, j; System.out.print( "Following activities are selected : n" ); // The first activity always gets selected i = 0 ; System.out.print(i + " " ); // Consider rest of the activities for (j = 1 ; j < n; j++) { // If this activity has start time greater than or // equal to the finish time of previously selected // activity, then select it if (s[j] >= f[i]) { System.out.print(j + " " ); i = j; } } } // driver program to test above function public static void main(String[] args) { int s[] = { 1 , 3 , 0 , 5 , 8 , 5 }; int f[] = { 2 , 4 , 6 , 7 , 9 , 9 }; int n = s.length; printMaxActivities(s, f, n); } } |
Output:
Following activities are selected : n0 1 3 4
Please refer complete article on Activity Selection Problem | Greedy Algo-1 for more details!
Please Login to comment...