ec.app.regression.func

Class VladERCC

java.lang.Object

ec.gp.GPNode

ec.gp.ERC

ec.app.regression.func.RegERC

ec.app.regression.func.VladERCA

ec.app.regression.func.VladERCC

All Implemented Interfaces:

GPNodeParent, Prototype, Setup, java.io.Serializable, java.lang.Cloneable

public class VladERCC
extends VladERCA

See Also:

Serialized Form

Field Summary

Fields inherited from class ec.app.regression.func.RegERC

value

Fields inherited from class ec.gp.GPNode

argposition, children, CHILDREN_UNKNOWN, constraints, GPNODEPRINTTAB, MAXPRINTBYTES, NODESEARCH_ALL, NODESEARCH_NONTERMINALS, NODESEARCH_TERMINALS, P_NODE, P_NODECONSTRAINTS, parent

Constructor Summary

Constructors

Constructor and Description
VladERCC()

Method Summary

Modifier and Type	Method and Description
void	eval(EvolutionState state, int thread, GPData input, ADFStack stack, GPIndividual individual, Problem problem) Evaluates the node with the given thread, state, individual, problem, and stack.
java.lang.String	name() Returns the lowercase "name" of this ERC function class, some simple, short name which distinguishes this class from other ERC function classes you're using.
java.lang.String	toStringForHumans() You might want to override this to return a special human-readable version of the erc value; otherwise this defaults to toString(); This should be something that resembles a LISP atom.

Methods inherited from class ec.app.regression.func.VladERCA

expectedChildren, resetNode

Methods inherited from class ec.app.regression.func.RegERC

decode, encode, nodeEquals, nodeHashCode, readNode, writeNode

Methods inherited from class ec.gp.ERC

mutateERC, readNode, toString

Methods inherited from class ec.gp.GPNode

atDepth, checkConstraints, clone, cloneReplacing, cloneReplacing, cloneReplacing, cloneReplacingAtomic, cloneReplacingAtomic, cloneReplacingNoSubclone, constraints, contains, defaultBase, depth, errorInfo, iterator, iterator, iterator, lightClone, makeCTree, makeGraphvizTree, makeLatexTree, makeLispTree, makeLispTree, nodeEquivalentTo, nodeInPosition, nodeInPosition, numNodes, numNodes, parentType, pathLength, printNode, printNode, printNode, printNodeForHumans, printNodeForHumans, printRootedTree, printRootedTree, printRootedTree, printRootedTreeForHumans, printRootedTreeForHumans, readRootedTree, readRootedTree, replaceWith, rootedTreeEquals, rootedTreeHashCode, rootParent, setup, swapCompatibleWith, toStringForError, writeRootedTree

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

VladERCC

public VladERCC()

Method Detail

name

public java.lang.String name()

Description copied from class: ERC

Returns the lowercase "name" of this ERC function class, some simple, short name which distinguishes this class from other ERC function classes you're using. If you have more than one ERC function, you need to distinguish them here. By default the value is "ERC", which works fine for a single ERC function in the function set. Whatever the name is, it should generally only have letters, numbers, or hyphens or underscores in it. No whitespace or other characters.

Overrides:

name in class VladERCA

toStringForHumans

public java.lang.String toStringForHumans()

Description copied from class: ERC

You might want to override this to return a special human-readable version of the erc value; otherwise this defaults to toString(); This should be something that resembles a LISP atom. If a simple number or other object won't suffice, you might use something that begins with name() + [ + ... + ]

Overrides:

toStringForHumans in class VladERCA

eval

public void eval(EvolutionState state,
                 int thread,
                 GPData input,
                 ADFStack stack,
                 GPIndividual individual,
                 Problem problem)

Description copied from class: GPNode

Evaluates the node with the given thread, state, individual, problem, and stack. Your random number generator will be state.random[thread]. The node should, as appropriate, evaluate child nodes with these same items passed to eval(...).

About input: input is special; it is how data is passed between parent and child nodes. If children "receive" data from their parent node when it evaluates them, they should receive this data stored in input. If (more likely) the parent "receives" results from its children, it should pass them an input object, which they'll fill out, then it should check this object for the returned value.

A tree is typically evaluated by dropping a GPData into the root. When the root returns, the resultant input should hold the return value.

In general, you should not be creating new GPDatas. If you think about it, in most conditions (excepting ADFs and ADMs) you can use and reuse input for most communications purposes between parents and children.

So, let's say that your GPNode function implements the boolean AND function, and expects its children to return return boolean values (as it does itself). You've implemented your GPData subclass to be, uh, BooleanData, which looks like

public class BooleanData extends GPData 
    {
    public boolean result;
    public GPData copyTo(GPData gpd)
      {
      ((BooleanData)gpd).result = result;
      }
    }

...so, you might implement your eval(...) function as follows:

public void eval(final EvolutionState state,
                     final int thread,
                     final GPData input,
                     final ADFStack stack,
                     final GPIndividual individual,
                     final Problem problem
    {
    BooleanData dat = (BooleanData)input;
    boolean x;

    // evaluate the first child
    children[0].eval(state,thread,input,stack,individual,problem);
  
    // store away its result
    x = dat.result;

    // evaluate the second child
    children[1].eval(state,thread,input,stack,individual,problem);

    // return (in input) the result of the two ANDed

    dat.result = dat.result && x;
    return;
    }
        

Overrides:

eval in class VladERCA