private void generateConnectedNodesWithinRadiusH() throws Exception {
MFilePlotData NodeDistributionData =
new MFilePlotData(
"",
"Node Degree Distribution",
"Node Degree Distribution",
"DistNodesWithinR.m",
outputDirectory,
null,
20);
Vector<Vector<TreeMap<Integer, Integer>>> data =
new Vector<Vector<TreeMap<Integer, Integer>>>();
for (int i = 0; i < networks.size(); i++) {
Vector<TreeMap<Integer, Integer>> curNetworkData = new Vector<TreeMap<Integer, Integer>>();
Vector<CalculatedGraph> networkSeries = networks.get(i);
for (int j = 0; j < networkSeries.size(); j++) {
TreeMap<Integer, Integer> dist = networkSeries.get(j).getConnectedNodesWithinRadius(.16);
curNetworkData.add(dist);
}
data.add(curNetworkData);
}
DistWriter NodeDistributionPlotter = new DistWriter(NodeDistributionData);
NodeDistributionPlotter.PlotDistInt(data);
}
private void generateNodeDistributionH() throws Exception {
MFilePlotData NodeDistributionData =
new MFilePlotData(
"",
"Node Degree Distribution",
"Node Degree Distribution",
"NodeDistribution.m",
outputDirectory,
null,
20);
Vector<Vector<TreeMap<Integer, Integer>>> data =
new Vector<Vector<TreeMap<Integer, Integer>>>();
for (int i = 0; i < networks.size(); i++) {
Vector<TreeMap<Integer, Integer>> curNetworkData = new Vector<TreeMap<Integer, Integer>>();
Vector<CalculatedGraph> networkSeries = networks.get(i);
System.out.println("How many graphs - " + networkSeries.size());
for (int j = 0; j < networkSeries.size(); j++) {
TreeMap<Integer, Integer> dist = networkSeries.get(j).getNodeDistribution();
curNetworkData.add(dist);
}
data.add(curNetworkData);
}
DistWriter NodeDistributionPlotter = new DistWriter(NodeDistributionData);
NodeDistributionPlotter.PlotDistInt(data);
}
private void generateLinksLongerThan_rPlot() throws Exception {
MFilePlotData getLinksLongerThanRData =
new MFilePlotData(
"",
"Links longer than R=" + GraphConstants.MeasurementR,
"Links longer than R=" + GraphConstants.MeasurementR,
"LinksLongerThanR.m",
outputDirectory,
null,
20);
Vector<TreeMap<Double, Integer>> optimizedData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < optimized.size(); i++) {
TreeMap<Double, Integer> dist = optimized.get(i).getLinksLongerThan_r();
optimizedData.add(dist);
}
Vector<TreeMap<Double, Integer>> exponentialData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < exponential.size(); i++) {
TreeMap<Double, Integer> dist = exponential.get(i).getLinksLongerThan_r();
exponentialData.add(dist);
}
Vector<TreeMap<Double, Integer>> heuristicData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < heuristic.size(); i++) {
TreeMap<Double, Integer> dist = heuristic.get(i).getLinksLongerThan_r();
heuristicData.add(dist);
}
DistWriter LinksLongerThanRPlotter = new DistWriter(getLinksLongerThanRData);
LinksLongerThanRPlotter.PlotDist(optimizedData, exponentialData, heuristicData);
}
private void generateConnectedNodesWithinRadius() throws Exception {
MFilePlotData ConnectedNodesWithinRadiusData =
new MFilePlotData(
"",
"Connected Nodes Within R=" + GraphConstants.MeasurementR,
"Connected Nodes Within Radius" + GraphConstants.MeasurementR,
"ConnectedNodesWithinRadius_questionable.m",
outputDirectory,
null,
20);
Vector<TreeMap<Integer, Integer>> optimizedData = new Vector<TreeMap<Integer, Integer>>();
for (int i = 0; i < optimized.size(); i++) {
TreeMap<Integer, Integer> dist = optimized.get(i).getConnectedNodesWithinRadius();
optimizedData.add(dist);
}
Vector<TreeMap<Integer, Integer>> exponentialData = new Vector<TreeMap<Integer, Integer>>();
for (int i = 0; i < exponential.size(); i++) {
TreeMap<Integer, Integer> dist = exponential.get(i).getConnectedNodesWithinRadius();
exponentialData.add(dist);
}
Vector<TreeMap<Integer, Integer>> heuristicData = new Vector<TreeMap<Integer, Integer>>();
for (int i = 0; i < heuristic.size(); i++) {
TreeMap<Integer, Integer> dist = heuristic.get(i).getConnectedNodesWithinRadius();
heuristicData.add(dist);
}
DistWriter ConnectedNodesWithinRadiusPlotter = new DistWriter(ConnectedNodesWithinRadiusData);
ConnectedNodesWithinRadiusPlotter.PlotDistInt(optimizedData, exponentialData, heuristicData);
}
private void generateBetweeness() throws Exception {
MFilePlotData BetweenessData =
new MFilePlotData(
"", "Betweeness", "Betweeness", "Betweeness.m", outputDirectory, null, 20);
Vector<TreeMap<Double, Integer>> optimizedData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < optimized.size(); i++) {
TreeMap<Double, Integer> dist = optimized.get(i).getBetweeness();
optimizedData.add(dist);
}
Vector<TreeMap<Double, Integer>> exponentialData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < exponential.size(); i++) {
System.out.println("exp iter" + i);
TreeMap<Double, Integer> dist = exponential.get(i).getBetweeness();
exponentialData.add(dist);
}
Vector<TreeMap<Double, Integer>> heuristicData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < heuristic.size(); i++) {
TreeMap<Double, Integer> dist = heuristic.get(i).getBetweeness();
heuristicData.add(dist);
}
DistWriter BetweenessPlotter = new DistWriter(BetweenessData);
BetweenessPlotter.PlotDist(optimizedData, exponentialData, heuristicData);
}
private void generateISPL() throws Exception {
MFilePlotData ISPLData =
new MFilePlotData("", "ISPL", "ISPL", "ISPL.m", outputDirectory, null, 20);
Vector<TreeMap<Double, Integer>> optimizedData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < optimized.size(); i++) {
TreeMap<Double, Integer> dist = optimized.get(i).getDistributionISPL();
optimizedData.add(dist);
}
Vector<TreeMap<Double, Integer>> exponentialData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < exponential.size(); i++) {
TreeMap<Double, Integer> dist = exponential.get(i).getDistributionISPL();
exponentialData.add(dist);
}
Vector<TreeMap<Double, Integer>> heuristicData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < heuristic.size(); i++) {
TreeMap<Double, Integer> dist = heuristic.get(i).getDistributionISPL();
heuristicData.add(dist);
}
DistWriter ISPLPlotter = new DistWriter(ISPLData);
ISPLPlotter.PlotDist(optimizedData, exponentialData, heuristicData);
}
private void generateNodeDistribution() throws Exception {
MFilePlotData NodeDistributionData =
new MFilePlotData(
"",
"Node Degree Distribution",
"Node Degree Distribution",
"NodeDistribution.m",
outputDirectory,
null,
20);
Vector<TreeMap<Integer, Integer>> optimizedData = new Vector<TreeMap<Integer, Integer>>();
for (int i = 0; i < optimized.size(); i++) {
TreeMap<Integer, Integer> dist = optimized.get(i).getNodeDistribution();
optimizedData.add(dist);
}
Vector<TreeMap<Integer, Integer>> exponentialData = new Vector<TreeMap<Integer, Integer>>();
for (int i = 0; i < exponential.size(); i++) {
TreeMap<Integer, Integer> dist = exponential.get(i).getNodeDistribution();
exponentialData.add(dist);
}
Vector<TreeMap<Integer, Integer>> heuristicData = new Vector<TreeMap<Integer, Integer>>();
for (int i = 0; i < heuristic.size(); i++) {
TreeMap<Integer, Integer> dist = heuristic.get(i).getNodeDistribution();
heuristicData.add(dist);
}
DistWriter NodeDistributionPlotter = new DistWriter(NodeDistributionData);
NodeDistributionPlotter.PlotDistInt(optimizedData, exponentialData, heuristicData);
}
private void generateNodeMaxiumumEdgeLength() throws Exception {
MFilePlotData NodeMaximumEdgeData =
new MFilePlotData(
"",
"Node Maximum Edge Length",
"Node Maximum Edge Length",
"NodeMaximumEdgeLength.m",
outputDirectory,
null,
20);
Vector<TreeMap<Double, Integer>> optimizedData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < optimized.size(); i++) {
TreeMap<Double, Integer> dist = optimized.get(i).getNodeMaximumEdgeLength();
optimizedData.add(dist);
}
Vector<TreeMap<Double, Integer>> exponentialData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < exponential.size(); i++) {
TreeMap<Double, Integer> dist = exponential.get(i).getNodeMaximumEdgeLength();
exponentialData.add(dist);
}
Vector<TreeMap<Double, Integer>> heuristicData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < heuristic.size(); i++) {
TreeMap<Double, Integer> dist = heuristic.get(i).getNodeMaximumEdgeLength();
heuristicData.add(dist);
}
DistWriter NodeMaximumEdgeLengthPlotter = new DistWriter(NodeMaximumEdgeData);
NodeMaximumEdgeLengthPlotter.PlotDist(optimizedData, exponentialData, heuristicData);
}
private void generateMeanDegreeOfConnectedNeighbors() throws Exception {
MFilePlotData NodeTotalEdgeCostData =
new MFilePlotData(
"",
"Mean Degree Of Connected Neighbors",
"Mean Degree Of Connected Neighbors",
"MeanDegreeOfConnectedNeighbors.m",
outputDirectory,
null,
20);
Vector<TreeMap<Double, Integer>> optimizedData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < optimized.size(); i++) {
TreeMap<Double, Integer> dist = optimized.get(i).getMeanDegreeOfConnectedNeighbors();
optimizedData.add(dist);
}
Vector<TreeMap<Double, Integer>> exponentialData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < exponential.size(); i++) {
TreeMap<Double, Integer> dist = exponential.get(i).getMeanDegreeOfConnectedNeighbors();
exponentialData.add(dist);
}
Vector<TreeMap<Double, Integer>> heuristicData = new Vector<TreeMap<Double, Integer>>();
for (int i = 0; i < heuristic.size(); i++) {
TreeMap<Double, Integer> dist = heuristic.get(i).getMeanDegreeOfConnectedNeighbors();
heuristicData.add(dist);
}
DistWriter NodeTotalEdgeLengthPlotter = new DistWriter(NodeTotalEdgeCostData);
NodeTotalEdgeLengthPlotter.PlotDist(optimizedData, exponentialData, heuristicData);
}
private void generateLinkLengthsH() throws Exception {
MFilePlotData NodeDistributionData =
new MFilePlotData(
"",
"Node Degree Distribution",
"Node Degree Distribution",
"DistLinkLengths.m",
outputDirectory,
null,
20);
Vector<Vector<TreeMap<Double, Integer>>> data = new Vector<Vector<TreeMap<Double, Integer>>>();
for (int i = 0;
i < 1;
// networks.size();
i++) {
Vector<TreeMap<Double, Integer>> curNetworkData = new Vector<TreeMap<Double, Integer>>();
Vector<CalculatedGraph> networkSeries = networks.get(i);
for (int j = 0; j < networkSeries.size(); j++) {
TreeMap<Double, Integer> dist = networkSeries.get(j).getDistributionLinkLengths();
curNetworkData.add(dist);
}
data.add(curNetworkData);
}
for (int i = 3; i < 4; i++) {
Vector<TreeMap<Double, Integer>> curNetworkData = new Vector<TreeMap<Double, Integer>>();
Vector<CalculatedGraph> networkSeries = networks.get(i);
for (int j = 0; j < networkSeries.size(); j++) {
TreeMap<Double, Integer> dist = networkSeries.get(j).getDistributionLinkLengths();
curNetworkData.add(dist);
}
data.add(curNetworkData);
}
DistWriter NodeDistributionPlotter = new DistWriter(NodeDistributionData);
NodeDistributionPlotter.PlotDist(data);
}
private void generateFitness() throws Exception {
MFilePlotData mFilePlotData =
new MFilePlotData(
"Fitness", "", "Distribution of Fitness", "FitnessDist.m", outputDirectory, null, 20);
Vector<Double> optimizedData = new Vector<Double>();
for (int i = 0; i < optimized.size(); i++) {
optimizedData.add(optimized.get(i).getFitnessValue());
}
Vector<Double> exponentialData = new Vector<Double>();
for (int i = 0; i < exponential.size(); i++) {
exponentialData.add(exponential.get(i).getFitnessValue());
}
Vector<Double> heuristicData = new Vector<Double>();
for (int i = 0; i < heuristic.size(); i++) {
heuristicData.add(heuristic.get(i).getFitnessValue());
}
DistWriter writer = new DistWriter(mFilePlotData);
writer.plotDoubleVectors(optimizedData, exponentialData, heuristicData);
}
