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SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--ec.Individual | +--ec.vector.VectorIndividual | +--ec.vector.DoubleVectorIndividual
DoubleVectorIndividual is a VectorIndividual whose genome is an array of doubles. Gene values may range from species.mingene(x) to species.maxgene(x), inclusive. The default mutation method randomizes genes to new values in this range, with species.mutationProbability.
Default Base
vector.double-vect-ind
Field Summary | |
double[] |
genome
|
static java.lang.String |
P_DOUBLEVECTORINDIVIDUAL
|
Fields inherited from class ec.vector.VectorIndividual |
EVALUATED_PREAMBLE |
Fields inherited from class ec.Individual |
evaluated, fitness, species |
Constructor Summary | |
DoubleVectorIndividual()
|
Method Summary | |
Parameter |
defaultBase()
Returns the default base for this prototype. |
void |
defaultCrossover(EvolutionState state,
int thread,
VectorIndividual ind)
Destructively crosses over the individual with another in some default manner. |
void |
defaultMutate(EvolutionState state,
int thread)
Destructively mutates the individual in some default manner. |
boolean |
equals(java.lang.Object ind)
Returns true if I am genetically "equal" to ind. |
long |
genomeLength()
Returns the length of the gene array. |
java.lang.Object |
getGenome()
Returns the gene array. |
int |
hashCode()
Returns a hashcode for the individual, such that individuals which are equals(...) each other always return the same hash code. |
void |
join(java.lang.Object[] pieces)
Joins the n pieces and sets the genome to their concatenation. |
void |
printIndividual(EvolutionState state,
int log,
int verbosity)
Should print the individual in a way that can be read by computer, including its fitness, using state.output.println(...,verbosity,log) You can get fitness to print itself at the appropriate time by calling fitness.printFitness(state,log,verbosity); |
void |
printIndividual(EvolutionState state,
java.io.PrintWriter writer)
Should print the individual in a way that can be read by computer, including its fitness. |
void |
printIndividualForHumans(EvolutionState state,
int log,
int verbosity)
Should print the individual out in a pleasing way for humans, including its fitness, using state.output.println(...,verbosity,log) You can get fitness to print itself at the appropriate time by calling fitness.printFitnessForHumans(state,log,verbosity); |
java.lang.Object |
protoClone()
Creates a new individual cloned from a prototype, and suitable to begin use in its own evolutionary context. |
void |
readIndividual(EvolutionState state,
java.io.LineNumberReader reader)
Reads in the individual from a form printed by printIndividual(). |
void |
reset(EvolutionState state,
int thread)
Initializes the individual by randomly choosing doubles uniformly from mingene to maxgene. |
void |
setGenome(java.lang.Object gen)
Sets the gene array. |
void |
setup(EvolutionState state,
Parameter base)
This should be used to set up only those things which you share in common with all other individuals in your species; individual-specific items which make you you should be filled in by Species.newIndividual(...), and modified by breeders. |
void |
split(int[] points,
java.lang.Object[] pieces)
Splits the genome into n pieces, according to points, which *must* be sorted. |
Methods inherited from class ec.vector.VectorIndividual |
size |
Methods inherited from class ec.Individual |
deepClone, protoCloneSimple |
Methods inherited from class java.lang.Object |
clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
public static final java.lang.String P_DOUBLEVECTORINDIVIDUAL
public double[] genome
Constructor Detail |
public DoubleVectorIndividual()
Method Detail |
public Parameter defaultBase()
Prototype
public java.lang.Object protoClone() throws java.lang.CloneNotSupportedException
Prototype
The question here is whether or not this means to perform a "deep" or "light" ("shallow") clone, or something in-between. You may need to deep-clone parts of your object rather than simply copying their references, depending on the situation:
Implementations.
public Object protoClone() throws CloneNotSupportedException
{
return super.clone();
}
public Object protoClone() throws CloneNotSupportedException
{
myobj = (MyObject) (super.clone());
// put your deep-cloning code here...
// ...you should use protoClone and not
// protoCloneSimple to clone subordinate objects...
return myobj;
}
public Object protoClone() throws CloneNotSupportedException
{
MyObject myobj = (MyObject)(super.protoClone());
// put your deep-cloning code here...
// ...you should use protoClone and not
// protoCloneSimple to clone subordinate objects...
return myobj;
}
If you know that your superclasses will never change their protoClone() implementations, you might try inlining them in your overridden protoClone() method. But this is dangerous (though it yields a small net increase).
In general, you want to keep your deep cloning to an absolute minimum, so that you don't have to call protoClone() but one time.
The approach taken here is the fastest that I am aware of while still permitting objects to be specified at runtime from a parameter file. It would be faster to use the "new" operator; but that would require hard-coding that we can't do. Although using java.lang.Object.clone() entails an extra layer that deals with stripping away the "protected" keyword and also wrapping the exception handling (which is a BIG hit, about three times as slow as using "new"), it's still MUCH faster than using java.lang.Class.newInstance(), and also much faster than rolling our own Clone() method.
protoClone
in class Individual
public void setup(EvolutionState state, Parameter base)
Individual
setup
in class Individual
ec.Individual
Prototype.setup(EvolutionState,Parameter)
public void defaultCrossover(EvolutionState state, int thread, VectorIndividual ind)
VectorIndividual
defaultCrossover
in class VectorIndividual
public void split(int[] points, java.lang.Object[] pieces)
split
in class VectorIndividual
public void join(java.lang.Object[] pieces)
join
in class VectorIndividual
public void defaultMutate(EvolutionState state, int thread)
defaultMutate
in class VectorIndividual
public void reset(EvolutionState state, int thread)
reset
in class VectorIndividual
public int hashCode()
Individual
hashCode
in class Individual
public void readIndividual(EvolutionState state, java.io.LineNumberReader reader) throws java.io.IOException, java.lang.CloneNotSupportedException
Individual
readIndividual
in class Individual
public void printIndividualForHumans(EvolutionState state, int log, int verbosity)
Individual
printIndividualForHumans
in class Individual
public void printIndividual(EvolutionState state, int log, int verbosity)
Individual
printIndividual
in class Individual
public void printIndividual(EvolutionState state, java.io.PrintWriter writer)
Individual
printIndividual
in class Individual
public boolean equals(java.lang.Object ind)
Individual
equals
in class Individual
public java.lang.Object getGenome()
VectorIndividual
getGenome
in class VectorIndividual
public void setGenome(java.lang.Object gen)
VectorIndividual
setGenome
in class VectorIndividual
ec.vector.VectorIndividual
VectorIndividual.getGenome()
public long genomeLength()
VectorIndividual
genomeLength
in class VectorIndividual
|
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