Class Nonterminal
- All Implemented Interfaces:
GPNodeParent,Prototype,Setup,Serializable,Cloneable
- See Also:
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Field Summary
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 -
Method Summary
Modifier and TypeMethodDescriptionvoideval(EvolutionState state, int thread, GPData input, ADFStack stack, GPIndividual individual, Problem problem) Evaluates the node with the given thread, state, individual, problem, and stack.toString()Returns a Lisp-like atom for the node which can be read in again by computer.Returns a Lisp-like atom for the node which is intended for human consumption, and not to be read in again.Methods inherited from class ec.gp.GPNode
atDepth, checkConstraints, clone, cloneReplacing, cloneReplacing, cloneReplacing, cloneReplacingAtomic, cloneReplacingAtomic, cloneReplacingNoSubclone, constraints, contains, defaultBase, depth, errorInfo, expectedChildren, iterator, iterator, iterator, lightClone, makeCTree, makeGraphvizSubtree, makeGraphvizTree, makeLatexTree, makeLispTree, makeLispTree, name, nodeEquals, nodeEquivalentTo, nodeHashCode, nodeInPosition, nodeInPosition, numNodes, numNodes, parentType, pathLength, printNode, printNode, printNode, printNodeForHumans, printNodeForHumans, printRootedTree, printRootedTree, printRootedTree, printRootedTreeForHumans, printRootedTreeForHumans, readNode, readNode, readRootedTree, readRootedTree, replaceWith, resetNode, rootedTreeEquals, rootedTreeHashCode, rootParent, setup, swapCompatibleWith, toStringForError, writeNode, writeRootedTree
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Constructor Details
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Nonterminal
public Nonterminal()
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Method Details
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toString
Description copied from class:GPNodeReturns a Lisp-like atom for the node which can be read in again by computer. If you need to encode an integer or a float or whatever for some reason (perhaps if it's an ERC), you should use the ec.util.Code library. -
toStringForHumans
Description copied from class:GPNodeReturns a Lisp-like atom for the node which is intended for human consumption, and not to be read in again. The default version just calls toString().- Overrides:
toStringForHumansin classGPNode
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eval
public void eval(EvolutionState state, int thread, GPData input, ADFStack stack, GPIndividual individual, Problem problem) Description copied from class:GPNodeEvaluates 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 invalid input: '&'invalid input: '&' x; return; }
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