/**
* Execute multiple runs (5) for each coefficient in the "coefficients" array and store the
* average online and greedy competitive ratios for each coefficient.
*
* @param numNodes Number of nodes/vertices in Set A.
* @param dataSource Type of data source to be used. (Same dataSource values as generateSingleRun)
* <pre>
* output
* Each line represents a coefficient
* Column 1: online competitive ratio for a coefficient
* Column 2: greedy competitive ratio for a coefficient
* </pre>
*/
public static void generateChartResults(int numNodes, String dataSource) {
DateFormat dateFormat = new SimpleDateFormat("HH:mm:ss");
Calendar cal = Calendar.getInstance();
System.out.println("Start: " + dateFormat.format(cal.getTime()));
Double[] coefficients = {1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 5.0, 10.0, 25.0};
BellmanFord bell = new BellmanFord();
ArrayList<Integer> destinationOrder = bell.permuteDestinations(numNodes);
bell.generateCostMatrix(dataSource, numNodes);
double offlineCost = bell.execute(numNodes, "offline", destinationOrder);
double onlineGreedyCost = bell.execute(numNodes, "greedy", destinationOrder);
for (int i = 0; i < coefficients.length; i++) {
bell.setConstant(coefficients[i]);
double competetiveRatioOnline = 0;
double competetiveRatioGreedy = 0;
for (int j = 0; j < 5; j++) {
double onlineCost = bell.execute(numNodes, "online", destinationOrder);
competetiveRatioOnline += onlineCost / offlineCost;
competetiveRatioGreedy += onlineGreedyCost / offlineCost;
}
System.out.print(competetiveRatioOnline / 5 + "\t");
System.out.print(competetiveRatioGreedy / 5 + "\t");
System.out.println();
}
cal = Calendar.getInstance();
System.out.println("End: " + dateFormat.format(cal.getTime()));
}
/**
* Execute a single run to compute the offline, online and greedy costs and their respective
* competitive ratios.
*
* @param numNodes Number of nodes/vertices in Set A.
* @param dataSource Type of data source to be used.
* @param constant Constant multiplier to be used for better competitive ratio
* <pre>
* "trip_data_test.csv" - Uber Data Set
*
* "synthetic1D" - Random points on a 1D line where distance
* between points is cost
*
* "synthetic2D" - Random (x,y) points on a 2D unit square space
* where distance formula is cost
*
* "synthetic2DExample1" - (x,y) integer points 0 <= x,y <
* sqrt(numNodes*2), shuffled then divided between taxis and
* requests
*
* "synthetic2DExample2" - {@link SyntheticData#generateSynthetic2DExample2(int)}
* </pre>
*/
public static void generateSingleRun(int numNodes, String dataSource, double constant) {
DateFormat dateFormat = new SimpleDateFormat("HH:mm:ss");
Calendar cal = Calendar.getInstance();
System.out.println("Start: " + dateFormat.format(cal.getTime()));
// BELLMAN
BellmanFord bell = new BellmanFord();
bell.setConstant(constant);
bell.generateCostMatrix(dataSource, numNodes);
ArrayList<Integer> destinationOrder = bell.permuteDestinations(numNodes);
System.out.println("Destination Index Order: " + destinationOrder.toString());
double offlineCost = bell.execute(numNodes, "offline", destinationOrder);
double onlineCost = bell.execute(numNodes, "online", destinationOrder);
double onlineGreedyCost = bell.execute(numNodes, "greedy", destinationOrder);
System.out.println("OFFLINE COST: " + offlineCost);
System.out.println("ONLINE COST: " + onlineCost);
System.out.println("GREEDY COST: " + onlineGreedyCost);
double onlineCompetetiveRatio = onlineCost / offlineCost;
double greedyCompetetiveRatio = onlineGreedyCost / offlineCost;
System.out.println("Competitive Ratio between online and offline: " + onlineCompetetiveRatio);
System.out.println(
"Competitive Ratio between greedy online and offline: " + greedyCompetetiveRatio);
// HUNGARIAN
// double hungarianCost = bell.execute(numNodes, "hungarian",
// destinationOrder);
// System.out.println("HUNGARIAN COST: " + hungarianCost);
cal = Calendar.getInstance();
System.out.println("End: " + dateFormat.format(cal.getTime()));
}
