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java.lang.Object | +--ec.BreedingSource | +--ec.SelectionMethod | +--ec.select.MultiSelection
MultiSelection is a SelectionMethod which stores some n subordinate SelectionMethods. Each time it must produce an individual, it picks one of these SelectionMethods at random and has it do the production instead.
Typical Number of Individuals Produced Per produce(...) call
Always 1.
Parameters
base.num-selects int >= 1 |
(The number of subordinate SelectionMethods) |
base.select.n classname, inherits and != SelectionMethod | (Subordinate SelectionMethod n) |
Default Base
select.multiselect
Parameter bases
base.select.n | Subordinate SelectionMethod n |
Field Summary | |
static java.lang.String |
P_MULTISELECT
|
static java.lang.String |
P_NUMSELECTS
|
static java.lang.String |
P_SELECT
|
SelectionMethod[] |
selects
The MultiSelection's individuals |
Fields inherited from class ec.SelectionMethod |
INDS_PRODUCED |
Fields inherited from class ec.BreedingSource |
CHECKBOUNDARY,
DEFAULT_PRODUCED,
NO_PROBABILITY,
P_PROB,
probability,
UNUSED |
Constructor Summary | |
MultiSelection()
|
Method Summary | |
Parameter |
defaultBase()
Returns the default base for this prototype. |
void |
prepareToProduce(EvolutionState s,
int subpopulation,
int thread)
A default version of prepareToProduce which does nothing. |
int |
produce(int subpopulation,
EvolutionState state,
int thread)
An alternative form of "produce" special to Selection Methods; selects an individual from the given subpopulation and returns its position in that subpopulation. |
int |
produce(int min,
int max,
int start,
int subpopulation,
Individual[] inds,
EvolutionState state,
int thread)
Produces n individuals from the given subpopulation and puts them into inds[start...start+n-1], where n = Min(Max(q,min),max), where q is the "typical" number of individuals the BreedingSource produces in one shot, and returns n. |
boolean |
produces(EvolutionState state,
Population newpop,
int subpopulation,
int thread)
A default version of produces -- this method always returns true under the assumption that the selection method works with all Fitnesses. |
java.lang.Object |
protoClone()
Creates a new individual cloned from a prototype, and suitable to begin use in its own evolutionary context. |
void |
setup(EvolutionState state,
Parameter base)
Sets up the BreedingPipeline. |
Methods inherited from class ec.SelectionMethod |
finishProducing,
preparePipeline,
typicalIndsProduced |
Methods inherited from class ec.BreedingSource |
getProbability,
pickRandom,
protoCloneSimple,
setProbability,
setupProbabilities |
Methods inherited from class java.lang.Object |
clone,
equals,
finalize,
getClass,
hashCode,
notify,
notifyAll,
toString,
wait,
wait,
wait |
Field Detail |
public static final java.lang.String P_NUMSELECTS
public static final java.lang.String P_SELECT
public static final java.lang.String P_MULTISELECT
public SelectionMethod[] selects
Constructor Detail |
public MultiSelection()
Method Detail |
public Parameter defaultBase()
public java.lang.Object protoClone() throws java.lang.CloneNotSupportedException
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.
public void setup(EvolutionState state, Parameter base)
The most common modification is to normalize it with some other set of probabilities, then set all of them up in increasing summation; this allows the use of the fast static BreedingSource-picking utility method, BreedingSource.pickRandom(...). In order to use this method, for example, if four breeding source probabilities are {0.3, 0.2, 0.1, 0.4}, then they should get normalized and summed by the outside owners as: {0.3, 0.5, 0.6, 1.0}.
Prototype.setup(EvolutionState,Parameter)
public boolean produces(EvolutionState state, Population newpop, int subpopulation, int thread)
public void prepareToProduce(EvolutionState s, int subpopulation, int thread)
public int produce(int subpopulation, EvolutionState state, int thread)
public int produce(int min, int max, int start, int subpopulation, Individual[] inds, EvolutionState state, int thread) throws java.lang.CloneNotSupportedException
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