public bool saveFile(String path, ContainerResult result, ContainerFunction containerFunction, Parametrs option)
{
createDocument(containerFunction, result, option);
_template.SaveAs(FileName: path);
_template.Close();
_template = null;
return true;
}
//Вывод лучшей хромосомы
public ContainerResult bestChromosome()
{
ContainerResult result = new ContainerResult();
Chromosome bestChromosome = new Chromosome(_countGenChromosome, _rnd);
for (int i = 0; i < _countChromosome; i++)
{
if (_arrayChromosomes[i].fitness > bestChromosome.fitness)
{
bestChromosome = _arrayChromosomes[i];
}
}
calculateFitness(bestChromosome, true);
result.vector = new List<double>();
for (int i = 0; i < _countGenChromosome; i++)
{
result.vector.Add(bestChromosome.gens[i]);
}
result.fitness = bestChromosome.fitness;
result.realResult = calculateTargetFunction(bestChromosome);
double sign = (_containerFunction.cursor == staticConst.SIGNMIN) ? -1 : 1;
result.realResult = result.realResult * sign;
result.realRestrict = new List<double>();
foreach (MatrixItem item in _containerFunction.matrix)
{
result.realRestrict.Add(calculateRestrictFunction(item, bestChromosome));
}
return result;
}
private void createDocument(ContainerFunction function, ContainerResult result, Parametrs option )
{
_template = _oWord.Documents.Add(Environment.CurrentDirectory + _directoryTemplate);
Char[] chr = { CHAR_SPACE, CHAR_PLUS, CHAR_COMMA };
String stroke = "";
_template.Bookmarks[MARK_COUNT_GENERATION].Range.Text = option.countGeneration.ToString();
_template.Bookmarks[MARK_CHANCE_MUTATION].Range.Text = option.сhanceMutation.ToString();
_template.Bookmarks[MARK_COUNT_POPULATE].Range.Text = option.countPopulate.ToString();
_template.Bookmarks[MARK_VALUE_MUTATION].Range.Text = option.valueMutation.ToString();
_template.Bookmarks[MARK_TURN_INTEGER].Range.Text = option.turnInteger;
_template.Bookmarks[MARK_TIME].Range.Text = result.time.ToString();
if (result != null)
{
String vectorResult = "";
String realResult = "";
String realRestrict = "";
int i = 1;
foreach (int vect in result.vector)
{
vectorResult += X + i.ToString() + SIGN_EQUALLY + vect + SIGN_COMMA + SIGN_SPACE + SIGN_SPACE;
i++;
}
stroke = vectorResult.Trim().Trim(chr);
_template.Bookmarks[MARK_VECTOR_RESULT].Range.Text = stroke;
realResult = result.realResult.ToString();
_template.Bookmarks[MARK_REAL_RESULT].Range.Text = realResult;
foreach (int vect in result.realRestrict)
{
realRestrict += vect.ToString() + SIGN_COMMA + SIGN_SPACE + SIGN_SPACE + SIGN_SPACE;
}
stroke = realRestrict.Trim().Trim(chr) + SIGN_SPACE;
_template.Bookmarks[MARK_REAL_RESTRICT].Range.Text = stroke;
}
if (function != null)
{
String line = "";
foreach (MatrixItem matrix in function.matrix)
{
line = "" ;
int i = 1;
foreach (Double vect in matrix.items)
{
double num;
if (vect < 0)
{
line += SIGN_MINUS + SIGN_SPACE;
num = Math.Abs(vect);
}
else
{
num = vect;
line += SIGN_PLUS + SIGN_SPACE;
}
line += num.ToString() + X + i + SIGN_SPACE;
i++;
}
stroke = line.Trim().Trim(chr);
stroke += matrix.Sign;
stroke += SIGN_SPACE;
stroke += matrix.restriction.ToString();
_template.Bookmarks[MARK_FUNCTION_RESTRICT].Range.Text = stroke + Environment.NewLine;
}
String lineFunc = "";
foreach (Double vect in function.fitness)
{
double num;
if (vect < 0)
{
lineFunc += SIGN_MINUS + SIGN_SPACE;
num = Math.Abs(vect);
}
else
{
num = vect;
lineFunc += SIGN_PLUS + SIGN_SPACE;
}
lineFunc += num.ToString() + SIGN_SPACE;
}
stroke = lineFunc.Trim().Trim(chr) + function.cursor + SIGN_SPACE;
_template.Bookmarks[MARK_FUNCTION].Range.Text = stroke;
}
}
public void calculatePopulate()
{
DateTime startDate = DateTime.Now;
if (_option.typeAlgoritme == staticConst.DIFFERENCIAL_GENETIC_ALGORITME)
{
populate = new DEGenetic(_option.countPopulate, _option.countValueVariable, _option.turnInteger, _containerFunction, _option.сhanceMutation, _option.valueMutation);
}
else if (_option.typeAlgoritme == staticConst.CLASSIC_ALGORITME)
{
populate = new ClassicGenetic(_option.countPopulate, _option.countValueVariable, _option.turnInteger, _containerFunction, _option.сhanceMutation, _option.valueMutation);
}
else if (_option.typeAlgoritme == staticConst.CLASSIC_ALGORITME2)
{
populate = new ClassicGenetic2(_option.countPopulate, _option.countValueVariable, _option.turnInteger, _containerFunction, _option.сhanceMutation, _option.valueMutation, _option.B);
}
else if (_option.typeAlgoritme == staticConst.DOUBLE_ALGORITM)
{
populate = new DoubleGenetic(_option.countPopulate, _option.countValueVariable, _option.turnInteger, _containerFunction, _option.сhanceMutation, _option.valueMutation);
}
populate.init();
_intermediateResult = populate.bestChromosome();
ProgressBarEventArgs eventsArg = new ProgressBarEventArgs(_option.countGeneration);
for (int i = 1; i <= _option.countGeneration; i++)
{
populate.nextGeneration();
if (showProgress != null)
{
eventsArg.step = i;
showProgress(this, eventsArg);
}
}
DateTime stopDate = DateTime.Now;
TimeSpan interval = stopDate - startDate;
_result = populate.bestChromosome();
_result.time = interval.Milliseconds;
}