public void SendBestIndividuals2(ParetoNode <S> top_node, int number_individuals_exchanged)
{
for (int i = 0; i < number_individuals_exchanged; ++i)
{
S solution = Population[i].Clone() as S;
top_node.EvaluateAndAdd(solution);
}
}
public ParetoNode <S> CreateNode(string node_id)
{
ParetoNode <S> node = new ParetoNode <S>(mProblem);
node.Population.Config.Copy(mConfig);
node.NodeId = node_id;
mParetoNodes[node_id] = node;
return(node);
}
public void LinkTop2Bottom(ParetoNode <S> top_node, ParetoNode <S> bottom_node)
{
if (mTopDownNodes.ContainsKey(top_node))
{
mTopDownNodes[top_node].Add(bottom_node);
}
if (mBottomUpNodes.ContainsKey(bottom_node))
{
mBottomUpNodes[bottom_node].Add(top_node);
}
}
public void SendRandomIndividuals2(ParetoNode <S> bottom_node, int number_individuals_exchanged)
{
List <S> solutions = mPopulation.Solutions.ToList();
RandomShuffle(solutions);
for (int i = 0; i < number_individuals_exchanged; ++i)
{
S solution = solutions[i].Clone() as S;
bottom_node.EvaluateAndAdd(solution);
}
}
public void Link2BottomLayer(HAPMOEALayer <S> bottom_layer)
{
foreach (string node_i in mParetoNodes.Keys)
{
ParetoNode <S> current_layer_node = mParetoNodes[node_i];
foreach (string node_j in bottom_layer.mParetoNodes.Keys)
{
ParetoNode <S> bottom_layer_node = bottom_layer.mParetoNodes[node_j];
if (!mTopDownNodes.ContainsKey(current_layer_node))
{
mTopDownNodes[current_layer_node] = new List <ParetoNode <S> >();
}
if (!bottom_layer.mBottomUpNodes.ContainsKey(bottom_layer_node))
{
bottom_layer.mBottomUpNodes[bottom_layer_node] = new List <ParetoNode <S> >();
}
mTopDownNodes[current_layer_node].Add(bottom_layer_node);
bottom_layer.mBottomUpNodes[bottom_layer_node].Add(current_layer_node);
}
}
}
