优先队列分支限界求解最优装载c++代码
时间: 2023-07-09 09:13:01 浏览: 55
以下是使用优先队列分支限界算法求解最优装载问题的C++代码实现:
```c++
#include <iostream>
#include <queue>
using namespace std;
struct Node {
int level; // 当前节点所在的层数
int weight; // 当前节点的重量
int profit; // 当前节点的价值
float bound; // 当前节点的价值上界
};
// 重载小于运算符,将节点按照价值上界从大到小排序
bool operator<(const Node& a, const Node& b) {
return a.bound < b.bound;
}
// 计算一个节点的价值上界
float bound(Node u, int n, int capacity, int* w, int* p) {
if (u.weight >= capacity) {
return 0;
}
float bound = u.profit;
int j = u.level + 1;
int totweight = u.weight;
while ((j < n) && (totweight + w[j] <= capacity)) {
totweight += w[j];
bound += p[j];
j++;
}
if (j < n) {
bound += (capacity - totweight) * p[j] / w[j];
}
return bound;
}
// 使用优先队列分支限界算法求解最优装载问题
int knapsack(int n, int capacity, int* w, int* p) {
priority_queue<Node> Q;
Node u, v;
int* order = new int[n];
for (int i = 0; i < n; i++) {
order[i] = i;
}
// 按照单位价值从大到小排序
for (int i = 0; i < n - 1; i++) {
for (int j = i + 1; j < n; j++) {
if (1.0 * p[order[i]] / w[order[i]] < 1.0 * p[order[j]] / w[order[j]]) {
swap(order[i], order[j]);
}
}
}
u.level = -1;
u.profit = 0;
u.weight = 0;
float maxprofit = 0;
Q.push(u);
while (!Q.empty()) {
u = Q.top();
Q.pop();
if (u.bound > maxprofit) {
v.level = u.level + 1;
v.weight = u.weight + w[v.level];
v.profit = u.profit + p[v.level];
if (v.weight <= capacity && v.profit > maxprofit) {
maxprofit = v.profit;
}
v.bound = bound(v, n, capacity, w, p);
if (v.bound > maxprofit) {
Q.push(v);
}
v.weight = u.weight;
v.profit = u.profit;
v.bound = bound(v, n, capacity, w, p);
if (v.bound > maxprofit) {
Q.push(v);
}
}
}
delete[] order;
return maxprofit;
}
int main() {
int n = 5;
int capacity = 10;
int w[] = {2, 2, 6, 5, 4};
int p[] = {6, 3, 5, 4, 6};
int maxprofit = knapsack(n, capacity, w, p);
cout << "The maximum profit is " << maxprofit << endl;
return 0;
}
```
以上代码仅供参考,具体实现可能因问题而异。