分支限界法求tsp问题，根据原博文修改后的代码
原文出处：http://blog.csdn.net/JarvisChu/archive/2010/10/29/5974895.aspx
#include
#include
using namespace std;
//---------------------宏定义------------------------------------------
#define MAX_CITY_NUMBER 10 //城市最大数目
#define MAX_COST 10000000 //两个城市之间费用的最大值
//---------------------全局变量----------------------------------------
int City_Graph[MAX_CITY_NUMBER][MAX_CITY_NUMBER];
//表示城市间边权重的数组
int City_Size; //表示实际输入的城市数目
int Best_Cost; //最小费用
int Best_Cost_Path[MAX_CITY_NUMBER];
//最小费用时的路径
//------------------------定义结点---------------------------------------
typedef struct Node{
int lcost; //优先级
int cc; //当前费用
int rcost; //剩余所有结点的最小出边费用的和
int s; //当前结点的深度，也就是它在解数组中的索引位置
int x[MAX_CITY_NUMBER]; //当前结点对应的路径
struct Node* pNext; //指向下一个结点
}Node;
//---------------------定义堆和相关对操作--------------------------------
typedef struct MiniHeap{
Node* pHead; //堆的头
}MiniHeap;
//初始化
void InitMiniHeap(MiniHeap* pMiniHeap){
pMiniHeap->pHead = new Node;
pMiniHeap->pHead->pNext = NULL;
}
//入堆
void put(MiniHeap* pMiniHeap,Node node){
Node* next;
Node* pre;
int k;
Node* pinnode = new Node; //将传进来的结点信息copy一份保存
//这样在函数外部对node的修改就不会影响到堆了
pinnode->cc = node.cc;
pinnode->lcost = node.lcost;
pinnode->pNext = node.pNext;
pinnode->rcost = node.rcost;
pinnode->s = node.s;
pinnode->pNext = NULL;
for(k=0;k
}
pre = pMiniHeap->pHead;
next = pMiniHeap->pHead->pNext;
if(next == NULL){
pMiniHeap->pHead->pNext = pinnode;
}
else{
while(next != NULL){
if((next->lcost) > (pinnode->lcost)){ //发现一个优先级大的，则置于其前面
pinnode->pNext = pre->pNext;
pre->pNext = pinnode;
break; //跳出
}
pre = next;
next = next->pNext;
}
pre->pNext = pinnode; //放在末尾
}
}
//出堆
Node* RemoveMiniHeap(MiniHeap* pMiniHeap){
Node* pnode = NULL;
if(pMiniHeap->pHead->pNext != NULL){
pnode = pMiniHeap->pHead->pNext;
pMiniHeap->pHead->pNext = pMiniHeap->pHead->pNext->pNext;
}
return pnode;
}
//---------------------分支限界法找最优解--------------------------------
void Traveler(){
int i,j;
int temp_x[MAX_CITY_NUMBER];
Node* pNode = NULL;
int miniSum; //所有结点最小出边的费用和
int miniOut[MAX_CITY_NUMBER];
//保存每个结点的最小出边的索引
MiniHeap* heap = new MiniHeap; //分配堆
InitMiniHeap(heap); //初始化堆
miniSum = 0;
for (i=0;i
for(j=0;j
miniOut[i] = City_Graph[i][j];
}
}
if (miniOut[i] == MAX_COST){// i 城市没有出边
Best_Cost = -1;
return ;
}
miniSum += miniOut[i];
}
for(i=0;i
}
Best_Cost = MAX_COST; //初始化的最优费用是一个很大的数
pNode = new Node; //初始化第一个结点并入堆
pNode->lcost = 0; //当前结点的优先权为0 也就是最优
pNode->cc = 0; //当前费用为0（还没有开始旅行）
pNode->rcost = miniSum; //剩余所有结点的最小出边费用和就是初始化的miniSum
pNode->s = 0; //层次为0
pNode->pNext = NULL;
for(int k=0;k
}
put(heap,*pNode); //入堆
while(pNode != NULL && (pNode->s) < City_Size-1){
//堆不空 不是叶子
for(int k=0;k
}
/*
* * pNode 结点保存的路径中的含有这条路径上所有结点的索引
* * x路径中保存的这一层结点的编号就是x[City_Size-2]
* * 下一层结点的编号就是x[City_Size-1]
*/
if ((pNode->s) == City_Size-2){ //是叶子的父亲
int edge1 = City_Graph[pNode->x[City_Size-2]][pNode->x[City_Size-1]];
int edge2 = City_Graph[pNode->x[City_Size-1]][pNode->x[0]];
if(edge1 >= 0 && edge2 >= 0 && (pNode->cc+edge1+edge2) < Best_Cost){
//edge1 -1 表示不可达
//叶子可达起点费用更低
Best_Cost = pNode->cc + edge1+edge2;
pNode->cc = Best_Cost;
pNode->lcost = Best_Cost; //优先权为 Best_Cost
pNode->s++; //到达叶子层
}
}
else{ //内部结点
for (i=pNode->s;i
//pNode的层数就是它在最优路径中的位置
int temp_cc = pNode->cc+City_Graph[pNode->x[pNode->s]][pNode->x[i]];
int temp_rcost = pNode->rcost-miniOut[pNode->x[pNode->s]];
//下一个结点的剩余最小出边费用和
//等于当前结点的rcost减去当前这个结点的最小出边费用
if (temp_cc+temp_rcost
}
temp_x[pNode->s+1] = Best_Cost_Path[i]; //和原文不同的地方
//将当前结点的编号放入路径的深度为s+1的地方
temp_x[i] = Best_Cost_Path[pNode->s+1]; //??????????????
//将原路//径中的深度为s+1的结点编号放入当前路径的
//相当于将原路径中的的深度为i的结点与深度W为s+1的结点交换
Node* pNextNode = new Node;
pNextNode->cc = temp_cc;
pNextNode->lcost = temp_cc+temp_rcost;
pNextNode->rcost = temp_rcost;
pNextNode->s = pNode->s+1;
pNextNode->pNext = NULL;
for(int k=0;k
}
put(heap,*pNextNode);
delete pNextNode;
}
}
}
}
pNode = RemoveMiniHeap(heap);
}
}
int main(){
int i,j;
scanf("%d",&City_Size);
for(i=0;i
{City_Graph[i][j]=-1;
}
else
scanf("%d",&City_Graph[i][j]);
}
}
Traveler();
printf("%d\n",Best_Cost);
return 1;
}