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diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/problem/ProblemEncoder.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/problem/ProblemEncoder.java
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+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/problem/ProblemEncoder.java
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+/**
+ * Description: Encodes the specified problem into encoded information for
+ * forming the goodness landscape.
+ *
+ * Author          Create/Modi     Note
+ * Xiaofeng Xie    May 31, 2000
+ * Xiaofeng Xie    Sep. 19, 2002
+ * Xiaofeng Xie    Mar. 01, 2003
+ * Xiaofeng Xie    May 11, 2004
+ *
+ * This library is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Lesser General Public
+ * License as published by the Free Software Foundation; either
+ * version 2.1 of the License, or (at your option) any later version.
+ *
+ * This library is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+ * Lesser General Public License for more details.
+ *
+ * Please acknowledge the author(s) if you use this code in any way.
+ *
+ * @version 1.0
+ * @Since MAOS1.0
+ */
+
+package net.adaptivebox.problem;
+
+import net.adaptivebox.encode.EvalElement;
+import net.adaptivebox.encode.EvalStruct;
+import net.adaptivebox.global.BasicBound;
+import net.adaptivebox.knowledge.SearchPoint;
+import net.adaptivebox.space.DesignDim;
+import net.adaptivebox.space.DesignSpace;
+
+public abstract class ProblemEncoder {
+  // Store the calculated results for the responses
+  private final double[] tempResponseSet; // temp values
+  private final double[] tempLocation; // temp values
+
+  // the search space (S)
+  private final DesignSpace designSpace;
+
+  // For evaluate the response vector into encoded vector double[2]
+  private final EvalStruct evalStruct;
+
+  protected ProblemEncoder(int paramNum, int targetNum) throws Exception {
+    designSpace = new DesignSpace(paramNum);
+    evalStruct = new EvalStruct(targetNum);
+    tempLocation = new double[paramNum];
+    tempResponseSet = new double[targetNum];
+  }
+
+  public DesignSpace getDesignSpace() {
+    return designSpace;
+  }
+
+  // set the default information for each dimension of search space (S)
+  protected void setDefaultXAt(int i, double min, double max, double grain) {
+    DesignDim dd = new DesignDim();
+    dd.grain = grain;
+    dd.paramBound = new BasicBound(min, max);
+    designSpace.setElemAt(dd, i);
+  }
+
+  // set the default information for evaluation each response
+  protected void setDefaultYAt(int i, double min, double max) {
+    EvalElement ee = new EvalElement();
+    ee.targetBound = new BasicBound(min, max);
+    evalStruct.setElemAt(ee, i);
+  }
+
+  // get a fresh point
+  public SearchPoint getFreshSearchPoint() {
+    return new SearchPoint(designSpace.getDimension());
+  }
+
+  // get an encoded point
+  public SearchPoint getEncodedSearchPoint() {
+    SearchPoint point = getFreshSearchPoint();
+    designSpace.initializeGene(point.getLocation());
+    evaluate(point);
+    return point;
+  }
+
+  // evaluate the point into encoded information
+  public void evaluate(SearchPoint point) {
+    // copy to temp point
+    System.arraycopy(point.getLocation(), 0, this.tempLocation, 0, tempLocation.length);
+
+    // mapping the temp point to original search space S
+    designSpace.getMappingPoint(tempLocation);
+
+    // calculate based on the temp point
+    calcTargets(tempResponseSet, tempLocation);
+    evalStruct.evaluate(point.getEncodeInfo(), tempResponseSet);
+    point.setObjectiveValue(tempResponseSet[0]);
+  }
+
+  // calculate each response, must be implemented
+  abstract protected double calcTargetAt(int index, double[] VX);
+
+  // calculate all the responses VY[] based on given point VX[]
+  private void calcTargets(double[] VY, double[] VX) {
+    for (int i = 0; i < VY.length; i++) {
+      VY[i] = calcTargetAt(i, VX);
+    }
+  }
+}