Vanish, thou evil typo!

src/eva2/server/go/operators/selection/InterfaceSelection.java

@@ -33,7 +33,7 @@ public interface InterfaceSelection {
      */
     public void prepareSelection(Population population);
 
-    /** This method will select >size< indiviudals from the given
+    /** This method will select >size< individuals from the given
      * Population.
      * @param population    The source population where to select from
      * @param size          The number of Individuals to select

src/eva2/server/go/operators/selection/SelectAll.java

@@ -38,7 +38,7 @@ public class SelectAll implements InterfaceSelection, java.io.Serializable {
         // nothing to prepare here
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population in respect to the selection propability of the
      * individual.
      * @param population    The source population where to select from

src/eva2/server/go/operators/selection/SelectBestIndividuals.java

@@ -41,7 +41,7 @@ public class SelectBestIndividuals implements InterfaceSelection, java.io.Serial
         // nothing to prepare here
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population.
      * @param population    The source population where to select from
      * @param size          The number of Individuals to select

src/eva2/server/go/operators/selection/SelectBestSingle.java

@@ -0,0 +1,134 @@
+package eva2.server.go.operators.selection;
+
+import eva2.server.go.individuals.AbstractEAIndividual;
+import eva2.server.go.populations.Population;
+import wsi.ra.math.RNG;
+
+
+/** Select best individual multiple times if necessary.
+ * In case of multiple fitness values the selection
+ * critria is selected randomly for each selection event.
+ * Created by IntelliJ IDEA.
+ * User: streiche
+ * Date: 18.03.2003
+ * Time: 16:17:10
+ * To change this template use Options | File Templates.
+ */
+public class SelectBestSingle implements InterfaceSelection, java.io.Serializable {
+
+    private boolean     m_ObeyDebsConstViolationPrinciple = true;
+
+    public SelectBestSingle() {
+    }
+
+    public SelectBestSingle(SelectBestSingle a) {
+        this.m_ObeyDebsConstViolationPrinciple = a.m_ObeyDebsConstViolationPrinciple;
+    }
+
+    public Object clone() {
+        return (Object) new SelectBestSingle(this);
+    }
+
+    /** This method allows an selection method to do some preliminary
+     * calculations on the population before selection is performed.
+     * For example: Homologeuos mate could compute all the distances
+     * before hand...
+     * @param population    The population that is to be processed.
+     */
+    public void prepareSelection(Population population) {
+        // nothing to prepare here
+    }
+
+    /** This method will select >size< individuals from the given
+     * Population.
+     * @param population    The source population where to select from
+     * @param size          The number of Individuals to select
+     * @return The selected population.
+     */
+    public Population selectFrom(Population population, int size) {
+        Population              result = new Population();
+        AbstractEAIndividual    tmpIndy = null;
+        int                     currentCriteria = 0, critSize;
+        double                  currentBestValue;
+
+        critSize = ((AbstractEAIndividual)population.get(0)).getFitness().length;
+        result.setPopulationSize(size);
+        if (this.m_ObeyDebsConstViolationPrinciple) {
+            for (int i = 0; i < size; i++) {
+                currentCriteria     = RNG.randomInt(0, critSize-1);
+                currentBestValue    = Double.POSITIVE_INFINITY;
+                tmpIndy = null;
+                for (int j = 0; j < population.size(); j++) {
+                    if ((!((AbstractEAIndividual)population.get(j)).violatesConstraint()) && (((AbstractEAIndividual)population.get(j)).getFitness(currentCriteria) < currentBestValue)) {
+                        currentBestValue = ((AbstractEAIndividual)population.get(j)).getFitness(currentCriteria);
+                        tmpIndy = (AbstractEAIndividual)population.get(j);
+                    }
+                }
+                if (tmpIndy == null) {
+                    // darn all individuals violate the constraints
+                    // so select the guy with the least worst constraint violation
+                    for (int j = 0; j < population.size(); j++) {
+                        if (((AbstractEAIndividual)population.get(j)).getConstraintViolation() < currentBestValue) {
+                            currentBestValue = ((AbstractEAIndividual)population.get(j)).getConstraintViolation();
+                            tmpIndy = (AbstractEAIndividual)population.get(j);
+                        }
+                    }
+                }
+                result.add(tmpIndy);
+            }
+        } else {
+            for (int i = 0; i < size; i++) {
+                currentCriteria     = RNG.randomInt(0, critSize-1);
+                currentBestValue    = Double.POSITIVE_INFINITY;
+                for (int j = 0; j < population.size(); j++) {
+                    if (((AbstractEAIndividual)population.get(j)).getFitness(currentCriteria) < currentBestValue) {
+                        currentBestValue = ((AbstractEAIndividual)population.get(j)).getFitness(currentCriteria);
+                        tmpIndy = (AbstractEAIndividual)population.get(j);
+                    }
+                }
+                result.add(tmpIndy);
+            }
+        }
+        return result;
+    }
+
+    /** This method allows you to select >size< partners for a given Individual
+     * @param dad               The already seleceted parent
+     * @param avaiablePartners  The mating pool.
+     * @param size              The number of partners needed.
+     * @return The selected partners.
+     */
+    public Population findPartnerFor(AbstractEAIndividual dad, Population avaiablePartners, int size) {
+        return this.selectFrom(avaiablePartners, size);
+    }
+/**********************************************************************************************************************
+ * These are for GUI
+ */
+    /** This method returns a global info string
+     * @return description
+     */
+    public String globalInfo() {
+        return "This selection method will select the single Best individual (n-times if necessary)." +
+                "This is a single objective selecting method, it will select in respect to a random criterion.";
+    }
+    /** This method will return a naming String
+     * @return The name of the algorithm
+     */
+    public String getName() {
+        return "Totalitarian Selection";
+    }
+
+    /** Toggel the use of obeying the constraint violation principle
+     * of Deb
+     * @param b     The new state
+     */
+    public void setObeyDebsConstViolationPrinciple(boolean b) {
+        this.m_ObeyDebsConstViolationPrinciple = b;
+    }
+    public boolean getObeyDebsConstViolationPrinciple() {
+        return this.m_ObeyDebsConstViolationPrinciple;
+    }
+    public String obeyDebsConstViolationPrincipleToolTip() {
+        return "Toggle the use of Deb's coonstraint violation principle.";
+    }
+}

src/eva2/server/go/operators/selection/SelectEPTournaments.java

@@ -78,7 +78,7 @@ public class SelectEPTournaments implements InterfaceSelection, java.io.Serializ
         }
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population in respect to the selection propability of the
      * individual.
      * @param population    The source population where to select from

src/eva2/server/go/operators/selection/SelectMOMAIIDominanceCounter.java

@@ -86,7 +86,7 @@ public class SelectMOMAIIDominanceCounter implements InterfaceSelection, java.io
         }
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population in respect to the selection propability of the
      * individual.
      * @param population    The source population where to select from

src/eva2/server/go/operators/selection/SelectMOMaxiMin.java

@@ -42,7 +42,7 @@ public class SelectMOMaxiMin implements InterfaceSelection, java.io.Serializable
         // nothing to prepare here
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population in respect to the selection propability of the
      * individual.
      * @param population    The source population where to select from

src/eva2/server/go/operators/selection/SelectMONSGAIICrowedTournament.java

@@ -45,7 +45,7 @@ public class SelectMONSGAIICrowedTournament implements InterfaceSelection, java.
         this.m_NSGAII.calculateCrowdingDistance(this.m_Fronts);
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population in respect to the selection propability of the
      * individual.
      * @param population    The source population where to select from

src/eva2/server/go/operators/selection/SelectMONonDominated.java

@@ -38,7 +38,7 @@ public class SelectMONonDominated implements InterfaceSelection, java.io.Seriali
         // nothing to prepare here
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population in respect to the selection propability of the
      * individual.
      * @param population    The source population where to select from

src/eva2/server/go/operators/selection/SelectMOPESA.java

@@ -43,7 +43,7 @@ public class SelectMOPESA implements InterfaceSelection, java.io.Serializable {
         this.m_Squeeze = this.m_PESAII.calculateSqueezeFactor(population);
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population in respect to the selection propability of the
      * individual.
      * @param population    The source population where to select from

src/eva2/server/go/operators/selection/SelectMOPESAII.java

@@ -77,7 +77,7 @@ public class SelectMOPESAII implements InterfaceSelection, java.io.Serializable
         }
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population in respect to the selection propability of the
      * individual.
      * @param population    The source population where to select from

src/eva2/server/go/operators/selection/SelectMOSPEAII.java

@@ -49,7 +49,7 @@ public class SelectMOSPEAII implements InterfaceSelection, java.io.Serializable
         m_SPEAFitness = this.m_SPEAII.calculateSPEA(population);
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population in respect to the selection propability of the
      * individual.
      * @param population    The source population where to select from

src/eva2/server/go/operators/selection/SelectRandom.java

@@ -39,7 +39,7 @@ public class SelectRandom implements InterfaceSelection, java.io.Serializable {
         // nothing to prepare here
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population in respect to the selection propability of the
      * individual.
      * @param population    The source population where to select from

src/eva2/server/go/operators/selection/SelectTournament.java

@@ -41,7 +41,7 @@ public class SelectTournament implements InterfaceSelection, java.io.Serializabl
         // nothing to prepare here
     }
 
-    /** This method will select one Indiviudal from the given
+    /** This method will select one Individual from the given
      * Population in respect to the selection propability of the
      * individual.
      * @param population    The source population where to select from

src/eva2/server/go/operators/selection/SelectXProbRouletteWheel.java

@@ -86,7 +86,7 @@ public class SelectXProbRouletteWheel implements InterfaceSelection, java.io.Ser
         this.m_TreeRoot = this.buildSelectionTree(population);
     }
 
-    /** This method will select a pool of indiviudals from the given
+    /** This method will select a pool of individuals from the given
      * Population in respect to the selection propability of the
      * individuals.
      * @param population    The source population where to select from