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标题:TSP算法调试总是出错,请好心朋友帮帮我,我很着急!
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席拉
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TSP算法调试总是出错,请好心朋友帮帮我,我很着急!
/---------TSP.CPP source file-------------------------------/
// 这是使用应用程序向导生成的 VC++
// 应用程序项目的主项目文件。
#include "stdafx.h"
#include <iostream>
#include <vector>
#include <algorithm>
#include <time.h>
#include <stdlib.h>
#include "def.h"
#include "TSP.h"
#using <mscorlib.dll>
using namespace System;
using namespace std;
int _tmain()
{   
    const static DISTANCE distance[][_CITY_AMOUNT]  =   {
      0, 1, 4, 6, 8, 1, 3, 7, 2, 9,
      1, 0, 7, 5, 3, 8, 3, 4, 2, 4,
      4, 7, 0, 3, 8, 3, 7, 9, 1, 2,
       6, 5, 3, 0, 3, 1, 5, 2, 9, 1,
       8, 3, 8, 3, 0, 2, 3, 1, 4, 6,
       1, 8, 3, 1, 2, 0, 3, 3, 9, 5,
       3, 3, 7, 5, 3, 3, 0, 7, 5, 9,
        7, 4, 9, 2, 1, 3, 7, 0, 1, 3,
       2, 2, 1, 9, 4, 9, 5, 1, 0, 1
 9, 4, 2, 1, 6, 5, 9, 3,1,0         };      //城市间的距离矩阵
        Csga<_CONTAINER, _CONTAINER_P> CUnit((DISTANCE *)distance);   //初始化
        //开始遗传算法
        if(!CUnit.fnCreateRandomGene())                                                                //产生随机的基因
        {
                exit(0);
        }//循环基因编译,杂交,淘汰过程
        CUnit.fnEvalAll();
        for ( int i = 0; i < _TIMES; ++i )
        {
                //CUnit.fnDispProbability();
                CUnit.fnGeneAberrance();                                                                //基因变异
                //CUnit.fnDispProbability();
                CUnit.fnGeneMix();                                                                                //基因杂交
                CUnit.fnEvalAll();                                                                                
                //每隔_DISP_INTERVAL显示一次结果
                if ( (i+1)%_DISP_INTERVAL == 0 || i == 0)
                {
                        cout << "第" << i+1 << "代" << std::endl;
                        CUnit.fnDispProbability();
                        CUnit.fnDispHistoryMin();
                }
        }
        CUnit.fnDispHistoryMin();
return 0;
}
/-------------------------------def.h source file---------------/
#ifndef     _GENERATION_AMOUNT
#define     _GENERATION_AMOUNT    201        //每一代的生存数
#define      _CITY_AMOUNT         10        //城市数,等于基因数
//#define      _XCHG_GENE_AMOUNT_WHEN_MIX        2             //每次杂交所交换的碱基数量                        
#define          _TIMES                 50          //定义进化次数
#define          _DISP_INTERVAL          5          //每隔多少次显示基因中的最高适应度
#define          _CONTAINER           std::vector<int>       //定义个体基因容器类型
#define          _CONTAINER_P           std::vector<int>     //定义适应度容器类型
#define          _P(a,x,y)             *(a+(x)+(y)*_CITY_AMOUNT)
#define          _P_GENE_ABERRANCE     10             //变异概率1%
#define          _P_GENE_MIX           (_GENERATION_AMOUNT-1)/2        //杂交次数
#define          _INFINITE              100000
typedef       int             DISTANCE;   //距离矩阵的数据存储类型
#endif
/------tsp.h-----------------------------------------------------------/
#include "stdafx.h"
#include "def.h"
using namespace std;
template <typename T, typename P>
class Csga
{      
public:
        Csga();
        Csga(DISTANCE *lpDistance);     //构造函数
        ~Csga();                                                                                        //析构函数                  
        bool fnCreateRandomGene();     //产生随机基因
        bool fnGeneAberrance();       //基因变异
        bool fnGeneMix();            //基因交叉产生新的个体测试并淘汰适应度低的个体
        bool fnEvalAll();              //测试所有基因的适应度
        int  fnEvalOne(T &Gene);        //测试某一个基因的适应度
        void fnDispProbability();     //显示每个个体的权值
        void fnDispHistoryMin();        
private:
        bool fnGeneAberranceOne(const int &i, const int &j);//变异某个基因
        T m_GenerationGene[_GENERATION_AMOUNT];          //定义每个群体的基因
        P m_vProbability;                //定义每个群体的适应度
        DISTANCE *lpCityDistance;
        int HistoryMin;
        T   HistoryMinWay;
        T m_GenerationGeneBk[_GENERATION_AMOUNT];               
};
//构造函数
template <typename T, typename P>
Csga<T, P>::Csga()
{
}
template <typename T, typename P>
Csga<T, P>::Csga(DISTANCE *lpDistance)
{
        lpCityDistance = lpDistance;
        m_vProbability.reserve(_CITY_AMOUNT);
        HistoryMin = _INFINITE;
        
        //cout << _P(lpCityDistance, 3, 2);      //调试用
}

//析构函数
template <typename T, typename P>
Csga<T, P>::~Csga()
{
}

//产生随机基因
template <typename T, typename P>
bool Csga<T, P>::fnCreateRandomGene()
{
        srand( time(0) );     //初始化随机数
        //cout << "\t基因序列" << std::endl;         //调试用
        //生成随机基因
        for(int j, temp, i = 0; i < _GENERATION_AMOUNT; ++i)
        {
                m_GenerationGene[i].reserve(_CITY_AMOUNT);            
                for (j = 0; j < _CITY_AMOUNT; ++j)
                {
                        do
                        {
                                temp = rand()%_CITY_AMOUNT;
                        }while (find(m_GenerationGene[i].begin(), m_GenerationGene[i].end(),temp) != m_GenerationGene[i].end());
                        m_GenerationGene[i].push_back(temp);               
                }//end for
                /*copy( m_GenerationGene[i].begin(), m_GenerationGene[i].end(),                                                                std::ostream_iterator<int>(cout," ") );
                cout << std::endl;        */                                                        //调试用
        }
        return true;
}


//基因变异
template <typename T, typename P>
bool Csga<T, P>::fnGeneAberrance()
{
        int i, j;
        int temp;
        srand(time(0));
        
        //抽选一代中的某个基因进行变异
        for (i = 0; i < _GENERATION_AMOUNT; ++i)
        {
                for (j = 0; j < _CITY_AMOUNT; ++j)
                {
                        temp = rand()%10000;
                        if ( temp > 0 && temp <= _P_GENE_ABERRANCE)
                        {
                                //随机抽选到的基因进行变异
                                if(!fnGeneAberranceOne(i, j)) {exit(0);}
                        }//end if
                }//end for j
        }//end for i        
        return true;
}
//变异第i个基因的第j位染色体
template <typename T, typename P>
bool Csga<T, P>::fnGeneAberranceOne(const int &i, const int &j)
{
        int temp;                                                                                        //基因变异结果
   srand(time(0));
   T::iterator pos;
   //找到变异位与另外一位交换
     pos = std::find(m_GenerationGene[i].begin(), m_GenerationGene[i].end(), temp);
        if (pos != m_GenerationGene[i].end())
        {
                *pos                                   = m_GenerationGene[i][j];
                m_GenerationGene[i][j] = temp;
                return true;
        }
        return false;
}
inline int fnRndBoundary(int iBegin, int iEnd)
{        
        
        return rand()%(iEnd-iBegin) + iBegin;
}
//基因交叉产生新的个体并淘汰适应度低的个体
template <typename T, typename P>
bool Csga<T, P>::fnGeneMix()
{
        srand(time(0));
        std::vector<int> temp;                    //选择池
        P vProbabilityBk;                      //临时保存适应度
        vProbabilityBk = m_vProbability;
        temp.reserve( ((_GENERATION_AMOUNT+1)*_GENERATION_AMOUNT)/2 );
        P::iterator pos;      
        for (int i = _GENERATION_AMOUNT; i > 0; --i)
        {
                pos  = std::min_element(vProbabilityBk.begin(), vProbabilityBk.end());
                temp.insert( temp.end(), i, (int)(pos-vProbabilityBk.begin()) );
                *pos = _INFINITE;
        }        
        /**************************************************************************
        fnDispProbability();
        cout << "\ttemp\n" << std::endl;                                        //调试用
                copy( temp.begin(), temp.end(), std::ostream_iterator<int>(cout," ") );
                cout << std::endl;                                                                //调试用
        **************************************************************************/
        #define _MIN_ELEMENT        std::min_element(m_vProbability.begin(), m_vProbability.end())
        m_GenerationGeneBk[_GENERATION_AMOUNT-1] = m_GenerationGene[_MIN_ELEMENT - m_vProbability.begin()];
        int iFather;                    //父亲的代号
        int iMother;                  //母亲的代号
        T Child1, Child2;             //父亲与母亲杂交出的子女的基因
        T::iterator tempIter;
        int LowBoundary;
        int HighBoundary;
        //int iChild1Probability,iChild2Probability;
        T fatherBk,motherBk;
        T::iterator V_iter;
        P::iterator P_iter;
        int iDistance;
        srand(time(0));
#ifndef _ITEMP
#define         _ITEMP     rand()%(((_GENERATION_AMOUNT+1)*_GENERATION_AMOUNT)/2)
#endif
        for (i = 0; i < _P_GENE_MIX; ++i) //杂交_P_GENE_MIX/10次
        {
                iFather = temp[_ITEMP];
                do
                {
                        iMother = temp[_ITEMP];
                }while(iMother == iFather);      
                Child1.reserve(_CITY_AMOUNT);        //初始化子女的碱基数
                Child2.reserve(_CITY_AMOUNT);
                Child1.clear();
                Child2.clear();            
                LowBoundary = fnRndBoundary(0, _CITY_AMOUNT-2);
                HighBoundary= fnRndBoundary(LowBoundary+1, _CITY_AMOUNT-1);
                /**********************************************************************
                cout << "iMother:" << iMother << std::endl;
                cout << "iFather:" << iFather << std::endl;
                cout << "LowBoundary:"  << LowBoundary  << std::endl;
                cout << "HighBoundary:" << HighBoundary << std::endl;
                **********************************************************************/               
                fatherBk = m_GenerationGene[iFather];
                motherBk = m_GenerationGene[iMother];
           std::copy (fatherBk.begin()+LowBoundary, fatherBk.begin()+HighBoundary+1,                                                                  std::back_inserter(Child1));              
               std::copy (motherBk.begin()+LowBoundary, motherBk.begin()+HighBoundary+1,                                                                      std::back_inserter(Child2));
                /**********************************************************************
                cout << "Child1:" ;
                for (tempIter=Child1.begin(); tempIter!=Child1.end(); ++tempIter)
                        cout << *tempIter << " ";
                cout << std::endl;
                cout << "Child2:" ;
                for (tempIter=Child2.begin(); tempIter!=Child2.end(); ++tempIter)
                        cout << *tempIter << " ";
                cout << std::endl;
                **********************************************************************/
                std::rotate (fatherBk.begin(), fatherBk.begin()+HighBoundary+1, fatherBk.end());
                std::rotate (motherBk.begin(), motherBk.begin()+HighBoundary+1, motherBk.end());
                /**********************************************************************
                cout << "fatherBk:" ;
                copy (fatherBk.begin(),fatherBk.end(), std::ostream_iterator<int>(cout, " "));
                cout << std::endl;
                cout << "motherBk:" ;
                copy (motherBk.begin(), motherBk.end(), std::ostream_iterator<int>(cout, " "));
                cout << std::endl;
                **********************************************************************/
                for (V_iter = m_GenerationGene[iFather].begin()+LowBoundary;
                        V_iter != m_GenerationGene[iFather].begin()+HighBoundary+1; ++V_iter)
                {
                        motherBk.erase(std::remove(motherBk.begin(), motherBk.end(), *V_iter),
                                                                                motherBk.end());
                }
               
                for (V_iter = m_GenerationGene[iMother].begin()+LowBoundary;
                        V_iter != m_GenerationGene[iMother].begin()+HighBoundary+1; ++V_iter)
                {
                        
                        fatherBk.erase(std::remove(fatherBk.begin(), fatherBk.end(), *V_iter),
                                                                                fatherBk.end());
                }
                /**********************************************************************
                cout << "fatherBk:" ;
                copy (fatherBk.begin(),fatherBk.end(), std::ostream_iterator<int>(cout, " "));
                cout << std::endl;
                cout << "motherBk:" ;
                copy (motherBk.begin(), motherBk.end(), std::ostream_iterator<int>(cout, " "));
                cout << std::endl;
                **********************************************************************/
                iDistance = _CITY_AMOUNT -HighBoundary - 1;
                std::copy(motherBk.begin(), motherBk.begin()+iDistance, std::back_inserter(Child1));
                std::copy(motherBk.begin()+iDistance, motherBk.end(), std::inserter(Child1,Child1.begin()));

                std::copy(fatherBk.begin(), fatherBk.begin()+iDistance, std::back_inserter(Child2));
                std::copy(fatherBk.begin()+iDistance, fatherBk.end(), std::inserter(Child2,Child2.begin()));               
                /**********************************************************************
                cout << "Child1:";
                copy (Child1.begin(), Child1.end(), std::ostream_iterator<int>(cout, " "));
               
                cout << "iChild1Probability:" << iChild1Probability << std::endl;
                cout << "Child2:" ;
                copy (Child2.begin(), Child2.end(), std::ostream_iterator<int>(cout, " "));
                cout << "iChild2Probability:" << iChild2Probability << std::endl;
                **********************************************************************/
                /*iChild1Probability = fnEvalOne(Child1);
                //iChild2Probability = fnEvalOne(Child2);                              
                P_iter = std::max_element(m_vProbability.begin(), m_vProbability.end());
                if (iChild1Probability < *P_iter)
                {
                        m_GenerationGene[P_iter-m_vProbability.begin()] = Child1;
                        *P_iter = iChild1Probability;
                }

                P_iter = std::max_element(m_vProbability.begin(), m_vProbability.end());
                if (iChild2Probability < *P_iter)
                {
                        m_GenerationGene[P_iter-m_vProbability.begin()] = Child2;
                        *P_iter = iChild2Probability;
                }
                */
                m_GenerationGeneBk[2*i]   = Child1;
                m_GenerationGeneBk[2*i+1] = Child2;
        }                        
        for (i = 0; i < _GENERATION_AMOUNT; ++i)
        {
                m_GenerationGene[i] = m_GenerationGeneBk[i];
        }        
        return true;
}
//测试基因的适应度
template <typename T, typename P>
bool Csga<T, P>::fnEvalAll()
{
        int i, j;
        m_vProbability.assign( _GENERATION_AMOUNT, 0);
        //cout << "\t基因适应度\n";      
        //测试每组基因的适应性
        for (i = 0; i < _GENERATION_AMOUNT; ++i)
        {
                for (j = 0; j < _CITY_AMOUNT-1; ++j)
                {
                        m_vProbability[i] += _P(lpCityDistance,
                                m_GenerationGene[i][j], m_GenerationGene[i][j+1]);
                }//end for (j = 0; j < _CITY_AMOUNT; ++j);        
                m_vProbability[i] += _P(lpCityDistance,
                                m_GenerationGene[i][_CITY_AMOUNT-1], m_GenerationGene[i][0]);
                if (m_vProbability[i] < HistoryMin)
                {
                        HistoryMin = m_vProbability[i];
                        HistoryMinWay = m_GenerationGene[i];
                }
               
        }//end for (int j, i = 0; i < _GENERATION_AMOUNT; ++i)
        //copy (m_vProbability.begin(), m_vProbability.end(), std::ostream_iterator<int>(cout," "));
        //cout << std::endl;
        //m_vProbability[_GENERATION_AMOUNT-1] = fnEvalOne(m_GenerationGeneBk[_GENERATION_AMOUNT-1]);
        return true;
}
//测试某个基因的适应度并返回适应度
template <typename T, typename P>
int Csga<T, P>::fnEvalOne(T &Gene)
{
        int iResult = 0;
        
    for (int i = 0; i < _CITY_AMOUNT-1; ++i)
        {
                iResult += _P(lpCityDistance, Gene[i], Gene[i + 1]);
        }
        
        return iResult;
}
template <typename T, typename P>
void Csga<T, P>::fnDispProbability()
{
        
        /*cout << "\t个体基因序列" <<std::endl;                                        //调试用
        for (int i = 0; i < _GENERATION_AMOUNT; ++i)
        {
                cout << " 个体" << i+1 << "的基因:";
                copy( m_GenerationGene[i].begin(), m_GenerationGene[i].end(),
                                                                                std::ostream_iterator<int>(cout," ") );
                if (i%2 == 1)
                        cout << std::endl;
        }
        */
        cout << "\t最小开销为:";
#define _VECT_TEMP        std::min_element(m_vProbability.begin(), m_vProbability.end())
        
        
        cout << *_VECT_TEMP << std::endl;//+_GENERATION_AMOUNT
        
        //cout << "各个方案的路程分别为:" ;
        //copy (m_vProbability.begin(), m_vProbability.end(), std::ostream_iterator<int>(cout, " "));
        cout << std::endl;
        cout << "*******************************************************" << std::endl;
        
        
}
template <typename T, typename P>
void Csga<T, P>::fnDispHistoryMin()
{
        cout << "历史上最短开销为:"<< HistoryMin << " 路径为:" ;
        std::copy (HistoryMinWay.begin(), HistoryMinWay.end(), std::ostream_iterator<int>(cout, " ->"));
        cout << *HistoryMinWay.begin();
        cout <<std::endl;
}







我用的是VC6.0,调试过程中总是有两个ERROR:
1、error C2143: syntax error : missing ';' before '/'
2、fatal error C1083: Cannot open include file: 'stdafx.h': No such file or directory

请好心朋友指点一下该怎么改正呢?小妹不胜感激!!!







---

[ 本帖最后由 席拉 于 2011-5-14 22:10 编辑 ]
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2011-05-14 22:09
debroa723
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const static DISTANCE distance数组的到数第二行最后少了一个逗号,在数字1后面。
我在编译器上编译时,还少了 #include <iterator>
VS2010上编译时,还有一个错误,for循环里的计数变量i,需要再次声明在循环体内。
文件stdafx.h是预编译头,如果你不使用预编译,就去掉这个头文件的包含,如果使用,手动增加这个文件。
2011-05-19 21:41
快速回复:TSP算法调试总是出错,请好心朋友帮帮我,我很着急!
数据加载中...
 
   



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