📄 one new ga to solve tsp .txt
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/*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)
{
&
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