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Population is now in sync with mk branch

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This commit is contained in:
Marcel Kronfeld
2008-08-28 13:24:14 +00:00
parent e2e3e504a7
commit af3e5827a4
1 changed files with 77 additions and 71 deletions
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148
src/eva2/server/go/populations/Population.java
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@@ -1,6 +1,7 @@
package eva2.server.go.populations;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.PriorityQueue;
@@ -234,6 +235,20 @@ public class Population extends ArrayList implements PopulationInterface, Clonea
public void SetFunctionCalls(int d) {
this.m_FunctionCalls = d;
}
/**
* To initialize (or invalidate) all current fitness values, this method sets them
* to the given array.
*
* @param f
*/
public void setAllFitnessValues(double[] f) {
AbstractEAIndividual indy;
for (int i=0; i<size(); i++) {
indy = getEAIndividual(i);
indy.SetFitness(f.clone());
}
}
/** This method allows you to increment the current number of generations.
* This will be the trigger for the Population, that has moved from t to t+1.
@@ -433,6 +448,20 @@ public class Population extends ArrayList implements PopulationInterface, Clonea
return getSortedNIndividuals(n, true);
}
/**
* This method returns a clone of the population instance with sorted individuals, where
* the sorting criterion is delivered by an AbstractEAIndividualComparator.
* @see #getSortedNIndividuals(int, boolean, Population)
*
* @return a clone of the population instance with sorted individuals, best fitness first
*/
public Population getSortedBestFirst() {
Population result = this.cloneWithoutInds();
getSortedNIndividuals(size(), true, result);
result.setPopulationSize(result.size());
return result;
}
/**
* This method returns the n current best individuals from the population, where
* the sorting criterion is delivered by an AbstractEAIndividualComparator.
@@ -843,7 +872,7 @@ public class Population extends ArrayList implements PopulationInterface, Clonea
}
/**
* Returns the average, minimal and maximal phenotypic individual distance as diversity measure for the populuation.
* Returns the average, minimal and maximal phenotypic individual distance as diversity measure for the population.
*
* @return the average, minimal and maximal mean distance of individuals in an array of three
*/
@@ -895,44 +924,20 @@ public class Population extends ArrayList implements PopulationInterface, Clonea
return centerPos;
}
// /**
// * Calculate the average position of the population.
// *
// * @return the average position of the population
// */
// public double[] getWeightedCenter(int fitIndex) {
// if (size()==0) EVAERROR.errorMsgOnce("Invalid pop size in DistractingPopulation:getCenter!");
// double[] centerPos = AbstractEAIndividual.getDoublePosition(getEAIndividual(0));
// double[] tmpPos;
// double fitSum = getFitSum(fitIndex);
// for (int i=1; i<size(); i++) {
// tmpPos = AbstractEAIndividual.getDoublePosition(getEAIndividual(i));
// tmpPos = Mathematics.svMult(getCenterWeight(getEAIndividual(i), fitIndex, fitSum), tmpPos);
// Mathematics.vvAdd(centerPos, tmpPos, centerPos);
// }
// Mathematics.svDiv(size(), centerPos, centerPos);
// return centerPos;
// }
//
// /**
// * Weight the fitness relative to the fitness sum.
// * @param indy
// * @param fitIndex
// * @param fitSum
// * @return
// */
// private double getCenterWeight(AbstractEAIndividual indy, int fitIndex, double fitSum) {
// double ret = indy.getFitness(fitIndex);
// return ret/fitSum;
// }
//
// private double getFitSum(int index) {
// double sum = 0;
// for (int i=0; i<size(); i++) {
// sum += getEAIndividual(i).getFitness(index);
// }
// return sum;
// }
/**
* Calculate the weighted center position of the population. Weights must add up to one!
*
* @return the average position of the population
*/
public double[] getCenterWeighted(double[] weights) {
if (size()==0 || (weights.length > size())) EVAERROR.errorMsgOnce("Invalid pop size in DistractingPopulation:getCenterWeighted!");
double[] centerPos = AbstractEAIndividual.getDoublePosition(getEAIndividual(0));
Mathematics.svMult(weights[0], centerPos, centerPos);
for (int i=1; i<weights.length; i++) {
Mathematics.svvAddScaled(weights[i], AbstractEAIndividual.getDoublePosition(getEAIndividual(i)), centerPos, centerPos);
}
return centerPos;
}
/**
* Fire an event every n function calls, the event sends the public String funCallIntervalReached.
@@ -943,38 +948,39 @@ public class Population extends ArrayList implements PopulationInterface, Clonea
this.notifyEvalInterval = notifyEvalInterval;
}
/**
* Check whether the population at the current state has been marked as
* evaluated. This allows to avoid double evaluations.
*
* @return true if the population has been marked as evaluated in its current state, else false
*/
public boolean isEvaluated() {
Pair<Integer,Integer> hashes = getIndyHashSums();
if (evaluationTimeHashes == null) return false;
else return ((hashes.head().equals(evaluationTimeHashes.head())) && (hashes.tail().equals(evaluationTimeHashes.tail())) && (evaluationTimeModCount == modCount));
}
// /**
// * Check whether the population at the current state has been marked as
// * evaluated. This allows to avoid double evaluations.
// *
// * @return true if the population has been marked as evaluated in its current state, else false
// */
// public boolean isEvaluated() {
// if (evaluationTimeModCount != modCount) return false;
// Pair<Integer,Integer> hashes = getIndyHashSums();
//
// if (evaluationTimeHashes == null) return false;
// else return ((hashes.head().equals(evaluationTimeHashes.head())) && (hashes.tail().equals(evaluationTimeHashes.tail())) && (evaluationTimeModCount == modCount));
// }
/**
* Mark the population at the current state as evaluated. Changes to the modCount or hashes of individuals
* will invalidate the mark.
*
* @see isEvaluated()
*/
public void setEvaluated() {
evaluationTimeModCount = modCount;
evaluationTimeHashes = getIndyHashSums();
}
// /**
// * Mark the population at the current state as evaluated. Changes to the modCount or hashes of individuals
// * will invalidate the mark.
// *
// * @see isEvaluated()
// */
// public void setEvaluated() {
// evaluationTimeModCount = modCount;
// evaluationTimeHashes = getIndyHashSums();
// }
private Pair<Integer,Integer> getIndyHashSums() {
int hashSum = 0, hashSumAbs = 0;
int hash;
for (int i=0; i<size(); i++) {
hash = get(i).hashCode();
hashSum += hash;
hashSumAbs += Math.abs(hash);
}
return new Pair(hashSum, hashSumAbs);
}
// private Pair<Integer,Integer> getIndyHashSums() {
// int hashSum = 0, hashSumAbs = 0;
// int hash;
// for (int i=0; i<size(); i++) {
// hash = get(i).hashCode();
// hashSum += hash;
// hashSumAbs += Math.abs(hash);
// }
// return new Pair(hashSum, hashSumAbs);
// }
}