C/C++，组合算法——K人活动选择问题（Activity-Selection-Problem）的源程序

1 活动选择问题

Activity-Selection-Problem with k persons

给定两个大小为 N 的数组S[]和E[]表示商店的开始和结束时间，以及一个整数值 K 表示人数，
任务是找出如果他们基于以下条件最佳地访问每个商店，他们总共可以访问的商店的最大数量:
(1)一家商店只能被一个人光顾；
(2)一个人不能去另一家商店，如果它的时间与它冲突；

Activity Selection problem is a approach of selecting non-conflicting tasks based on start and end time and can be solved in O(N logN) time using a simple greedy approach. Modifications of this problem are complex and interesting which we will explore as well. Suprising, if we use a Dynamic Programming approach, the time complexity will be O(N^3) that is lower performance.

The problem statement for Activity Selection is that "Given a set of n activities with their start and finish times, we need to select maximum number of non-conflicting activities that can be performed by a single person, given that the person can handle only one activity at a time." The Activity Selection problem follows Greedy approach i.e. at every step, we can make a choice that looks best at the moment to get the optimal solution of the complete problem.

Our objective is to complete maximum number of activities. So, choosing the activity which is going to finish first will leave us maximum time to adjust the later activities. This is the intuition that greedily choosing the activity with earliest finish time will give us an optimal solution. By induction on the number of choices made, making the greedy choice at every step produces an optimal solution, so we chose the activity which finishes first. If we sort elements based on their starting time, the activity with least starting time could take the maximum duration for completion, therefore we won't be able to maximise number of activities.

2 文本格式
 

#include
using namespace std;

// Comparator
bool compareBy(const pair& a,
               const pair& b)
{
    if (a.second != b.second)
        return a.second < b.second;
    return a.first < b.first;
}
// Function to find maximum shops
// that can be visited by K persons
int maximumShops(int* opening, int* closing,
    int n, int k)
{
    // Store opening and closing
    // time of shops
    pair a[n];

    for (int i = 0; i < n; i++) {
        a[i].first = opening[i];
        a[i].second = closing[i];
    }

    // Sort the pair of array
    sort(a, a + n, compareBy);

    // Stores the result
    int count = 0;

    // Stores current number of persons visiting
    // some shop with their ending time
    multiset st;

    for (int i = 0; i < n; i++) {

        // Check if current shop can be
        // assigned to a person who's
        // already visiting any other shop
        bool flag = false;

        if (!st.empty()) {

            auto it = st.upper_bound(a[i].first);

            if (it != st.begin()) {
                it--;

                // Checks if there is any person whose
                // closing time <= current shop opening
                // time
                if (*it <= a[i].first) {

                    // Erase previous shop visited by the
                    // person satisfying the condition
                    st.erase(it);

                    // Insert new closing time of current
                    // shop for the person satisfying ṭhe
                    // condition
                    st.insert(a[i].second);

                    // Increment the count by one
                    count++;

                    flag = true;
                }
            }
        }

        // In case if no person have closing
        // time <= current shop opening time
        // but there are some persons left
        if (st.size() < k && flag == false) {
            st.insert(a[i].second);
            count++;
        }
    }

    // Finally print the ans
    return count;
}

// Driver Code
int main()
{
    // Given starting and ending time
    int S[] = { 1, 8, 3, 2, 6 };
    int E[] = { 5, 10, 6, 5, 9 };

    // Given K and N
    int K = 2, N = sizeof(S) / sizeof(S[0]);

    // Function call
    cout << maximumShops(S, E, N, K) << endl;
}
 

3 代码格式

#include 
using namespace std;

// Comparator
bool compareBy(const pair& a,
               const pair& b)
{
    if (a.second != b.second)
        return a.second < b.second;
    return a.first < b.first;
}
// Function to find maximum shops
// that can be visited by K persons
int maximumShops(int* opening, int* closing,
    int n, int k)
{
    // Store opening and closing
    // time of shops
    pair a[n];

    for (int i = 0; i < n; i++) {
        a[i].first = opening[i];
        a[i].second = closing[i];
    }

    // Sort the pair of array
    sort(a, a + n, compareBy);

    // Stores the result
    int count = 0;

    // Stores current number of persons visiting
    // some shop with their ending time
    multiset st;

    for (int i = 0; i < n; i++) {

        // Check if current shop can be
        // assigned to a person who's
        // already visiting any other shop
        bool flag = false;

        if (!st.empty()) {

            auto it = st.upper_bound(a[i].first);

            if (it != st.begin()) {
                it--;

                // Checks if there is any person whose
                // closing time <= current shop opening
                // time
                if (*it <= a[i].first) {

                    // Erase previous shop visited by the
                    // person satisfying the condition
                    st.erase(it);

                    // Insert new closing time of current
                    // shop for the person satisfying ṭhe
                    // condition
                    st.insert(a[i].second);

                    // Increment the count by one
                    count++;

                    flag = true;
                }
            }
        }

        // In case if no person have closing
        // time <= current shop opening time
        // but there are some persons left
        if (st.size() < k && flag == false) {
            st.insert(a[i].second);
            count++;
        }
    }

    // Finally print the ans
    return count;
}

// Driver Code
int main()
{
    // Given starting and ending time
    int S[] = { 1, 8, 3, 2, 6 };
    int E[] = { 5, 10, 6, 5, 9 };

    // Given K and N
    int K = 2, N = sizeof(S) / sizeof(S[0]);

    // Function call
    cout << maximumShops(S, E, N, K) << endl;
}