Main.java
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import org.chocosolver.solver.Model;
import org.chocosolver.solver.Solution;
import org.chocosolver.solver.Solver;
import org.chocosolver.solver.constraints.Constraint;
import org.chocosolver.solver.objective.ParetoOptimizer;
import org.chocosolver.solver.search.strategy.Search;
import org.chocosolver.solver.variables.IntVar;
import java.io.*;
import java.util.List;
import java.util.Scanner;
import static org.chocosolver.solver.search.strategy.Search.activityBasedSearch;
import static org.chocosolver.solver.search.strategy.Search.intVarSearch;
/*
public class Main {
public static void giveDomains (Model model, IntVar[] ugs, String dir, UG[] nodes,
float X, float Y, int maxDistance, IntVar[] woodYield){
int index = 0;
try {
File myObj = new File(dir + "/ugs_init");
Scanner myReader = new Scanner(myObj);
File myObjWood = new File(dir + "/wood_init");
Scanner myReaderWood = new Scanner(myObjWood);
while (myReader.hasNextLine()) {
double d = Math.sqrt(Math.pow (nodes[index].mediumX - X, 2) + Math.pow (nodes[index].mediumY - Y, 2));
String data = myReader.nextLine();
String dataWood = myReaderWood.nextLine();
if(d <= maxDistance) {
String[] str_split = data.split(",", 0);
String[] str_split_wood = dataWood.split(",", 0);
int size = str_split.length;
int[] toInsert = new int[size];
int[] toInsertWood = new int[size];
for (int i = 0; i < size; i++) {
toInsert[i] = Integer.parseInt(str_split[i]);
toInsertWood[i] = (int) Float.parseFloat(str_split_wood[i]);
}
ugs[index] = model.intVar("UG_"+(index), toInsert);
woodYield[index] = model.intVar("Wood_Yield_"+(index), toInsertWood);
}
else {
ugs[index] = model.intVar("UG_"+(index), 0);
woodYield[index] = model.intVar("Wood_Yield_"+(index), 0);
}
index++;
}
myReader.close();
myReaderWood.close();
} catch (FileNotFoundException e) {
System.out.println("An error occurred.");
e.printStackTrace();
}
}
public static void giveDomainsWithRegion (Model model, IntVar[] ugs, String dir, UG[] nodes,
IntVar[] woodYield, String region){
int index = 0;
try {
File myObj = new File(dir + "/ugs_init");
Scanner myReader = new Scanner(myObj);
File myObjWood = new File(dir + "/wood_init");
Scanner myReaderWood = new Scanner(myObjWood);
while (myReader.hasNextLine()) {
String data = myReader.nextLine();
String dataWood = myReaderWood.nextLine();
if(region.equalsIgnoreCase(nodes[index].region)) {
String[] str_split = data.split(",", 0);
String[] str_split_wood = dataWood.split(",", 0);
int size = str_split.length;
int[] toInsert = new int[size];
int[] toInsertWood = new int[size];
for (int i = 0; i < size; i++) {
toInsert[i] = Integer.parseInt(str_split[i]);
toInsertWood[i] = (int) Float.parseFloat(str_split_wood[i]);
}
ugs[index] = model.intVar("UG_"+(index), toInsert);
woodYield[index] = model.intVar("Wood_Yield_"+(index), toInsertWood);
}
else {
ugs[index] = model.intVar("UG_"+(index), 0);
woodYield[index] = model.intVar("Wood_Yield_"+(index), 0);
}
index++;
}
myReader.close();
myReaderWood.close();
} catch (FileNotFoundException e) {
System.out.println("An error occurred.");
e.printStackTrace();
}
}
public static void main (String[] args) throws IOException, InterruptedException {
int areaLimit = Integer.parseInt(args[0]);
String fileDirectory = args[1];
int startingPointIndex = 0, maxDistFromPoint = 9999999;
String region = "";
float X = 0, Y = 0;
Model m = new Model("Forest Management");
BufferedReader reader = new BufferedReader(new FileReader(fileDirectory + "/ugs_init"));
int nUgs = 0;
while (reader.readLine() != null) nUgs++;
reader.close();
UG[] nodes = new UG[nUgs]; // initializes the nodes array with the number of total ugs in the input files (every line)
IntVar[] ugs = new IntVar[nUgs]; // same for the constraint variable array
IntVar[] woodYield = new IntVar[nUgs];
if(args.length < 5)
{
startingPointIndex = Integer.parseInt(args[2]);
maxDistFromPoint = Integer.parseInt(args[3]);
BufferedReader xV = new BufferedReader(new FileReader(fileDirectory + "/xvertex_init"));
Scanner myReaderXVertex = new Scanner(xV);
BufferedReader yV = new BufferedReader(new FileReader(fileDirectory + "/yvertex_init"));
Scanner myReaderYVertex = new Scanner(yV);
int current = 0;
while (myReaderXVertex.hasNextLine() && myReaderYVertex.hasNextLine()){
X = Float.parseFloat(myReaderXVertex.nextLine());
Y = Float.parseFloat(myReaderYVertex.nextLine());
if(current == startingPointIndex){
break;
}
current++;
}
myReaderXVertex.close();
myReaderYVertex.close();
// UG.fillArray(nodes, fileDirectory, X, Y, maxDistFromPoint);
giveDomains(m, ugs, fileDirectory, nodes, X, Y, maxDistFromPoint, woodYield); // reads the ugs_init file and initializes each variable with its possible prescription values as domain
}
else{
region = args[4];
UG.fillArray(nodes, fileDirectory, region);
giveDomainsWithRegion(m, ugs, fileDirectory, nodes, woodYield, region);
}
//System.out.println(areaLimit);
for(int ugIndex = 0; ugIndex < nodes.length; ugIndex++) { //loops through every UG
//the propagator takes as parameters the index of the UG we are starting out from
//the nodes with all the info, the constraint variable array and the area limit
if(nodes[ugIndex].valid) {
new Constraint("Area Limit Constraint", new CustomPropagator(ugIndex, nodes, ugs, areaLimit, woodYield)).post();
}
}
Solver s = m.getSolver();
int valids = 0;
for(int i = 0; i < nodes.length; i++){
if(nodes[i].valid) {
//System.out.println(ugs[i]);
valids++;
}
}
for(int i = 0; i < nodes.length; i++){
if(nodes[i].valid) {
IntVar prescIndex = m.intVar(0, 255);
m.element(ugs[i], nodes[i].presc, prescIndex).post();
m.element(woodYield[i], nodes[i].wood, prescIndex).post();
}
else{
m.arithm(woodYield[i], "=", 0).post();
}
}
IntVar woodSum = m.intVar("SUM", 0, 99999999);
m.sum(woodYield,"=", woodSum).post();
// Single Criterion Optimization
m.setObjective(Model.MAXIMIZE, woodSum);
if (s.solve()) {
FileWriter myWriter = new FileWriter("outputPairs.csv");
for (int i = 0; i < ugs.length; i++) {
if (nodes[i].valid) {
//System.out.println(woodYield[i]);
//myWriter.write(nodes[i].external + "," + prescIdConverter[ugs[i].getValue()] + "\n");
}
}
myWriter.close();
System.out.println(woodSum);
System.out.println(region);
}
/*Multi Criterion with Pareto
IntVar testSum = m.intVar("presc nmbers", 0, 10000);
m.sum(ugs, "=", testSum).post();
//VER IMAGENS
//IntVar a = m.intVar("test", 0, 3);
ParetoOptimizer po = new ParetoOptimizer(Model.MAXIMIZE,new IntVar[]{woodSum,testSum});
Solver solver = m.getSolver();
solver.plugMonitor(po);
// optimization
while(solver.solve());
List<Solution> paretoFront = po.getParetoFront();
System.out.println("The pareto front has " + paretoFront.size() + " solutions : ");
for (Solution so : paretoFront) {
System.out.println("a = " + so.getIntVal(woodSum) + " and b = " + so.getIntVal(testSum));
}
// retrieve the pareto front
}
}*/