public void setup(final EvolutionState state, final Parameter base) {
// very important, remember this
super.setup(state, base);
// set up our input -- don't want to use the default base, it's unsafe here
input =
(DoubleData)
state.parameters.getInstanceForParameterEq(base.push(P_DATA), null, DoubleData.class);
input.setup(state, base.push(P_DATA));
}
public void setup(final EvolutionState state, final Parameter base) {
super.setup(state, base);
Parameter def = defaultBase();
// we use size distributions -- did the user specify any?
if (!canPick())
state.output.fatal(
"PTC2 needs a distribution of tree sizes to pick from. You can do this by either setting a distribution (with "
+ P_NUMSIZES
+ ") or with "
+ P_MINSIZE
+ " and "
+ P_MAXSIZE
+ ".",
base,
def);
maxDepth = state.parameters.getInt(base.push(P_MAXDEPTH), def.push(P_MAXDEPTH), 1);
if (maxDepth < 1)
state.output.fatal("Maximum depth must be >= 1", base.push(P_MAXDEPTH), def.push(P_MAXDEPTH));
}
public void setup(final EvolutionState state, final Parameter base) {
Parameter def = defaultBase();
terminalProbability =
state.parameters.getDoubleWithMax(
base.push(P_TERMINAL_PROBABILITY), def.push(P_TERMINAL_PROBABILITY), 0.0, 1.0);
if (terminalProbability == -1.0)
state.output.fatal(
"Invalid terminal probability for KozaNodeSelector ",
base.push(P_TERMINAL_PROBABILITY),
def.push(P_TERMINAL_PROBABILITY));
nonterminalProbability =
state.parameters.getDoubleWithMax(
base.push(P_NONTERMINAL_PROBABILITY), def.push(P_NONTERMINAL_PROBABILITY), 0.0, 1.0);
if (nonterminalProbability == -1.0)
state.output.fatal(
"Invalid nonterminal probability for KozaNodeSelector ",
base.push(P_NONTERMINAL_PROBABILITY),
def.push(P_NONTERMINAL_PROBABILITY));
rootProbability =
state.parameters.getDoubleWithMax(
base.push(P_ROOT_PROBABILITY), def.push(P_ROOT_PROBABILITY), 0.0, 1.0);
if (rootProbability == -1.0)
state.output.fatal(
"Invalid root probability for KozaNodeSelector ",
base.push(P_ROOT_PROBABILITY),
def.push(P_ROOT_PROBABILITY));
if (rootProbability + terminalProbability + nonterminalProbability > 1.0f)
state.output.fatal(
"The terminal, nonterminal, and root for KozaNodeSelector"
+ base
+ " may not sum to more than 1.0. ("
+ terminalProbability
+ " "
+ nonterminalProbability
+ " "
+ rootProbability
+ ")",
base);
reset();
}
public void setup(final EvolutionState state, final Parameter base) {
super.setup(state, base);
Parameter def = defaultBase();
Parameter p = base.push(P_NODESELECTOR).push("0");
Parameter d = def.push(P_NODESELECTOR).push("0");
nodeselect1 =
(GPNodeSelector) (state.parameters.getInstanceForParameter(p, d, GPNodeSelector.class));
nodeselect1.setup(state, p);
p = base.push(P_NODESELECTOR).push("1");
d = def.push(P_NODESELECTOR).push("1");
if (state.parameters.exists(p, d) && state.parameters.getString(p, d).equals(V_SAME))
// can't just copy it this time; the selectors
// use internal caches. So we have to clone it no matter what
nodeselect2 = (GPNodeSelector) (nodeselect1.clone());
else {
nodeselect2 =
(GPNodeSelector) (state.parameters.getInstanceForParameter(p, d, GPNodeSelector.class));
nodeselect2.setup(state, p);
}
numTries = state.parameters.getInt(base.push(P_NUM_TRIES), def.push(P_NUM_TRIES), 1);
if (numTries == 0)
state.output.fatal(
"GPCrossover Pipeline has an invalid number of tries (it must be >= 1).",
base.push(P_NUM_TRIES),
def.push(P_NUM_TRIES));
maxDepth = state.parameters.getInt(base.push(P_MAXDEPTH), def.push(P_MAXDEPTH), 1);
if (maxDepth == 0)
state.output.fatal(
"GPCrossover Pipeline has an invalid maximum depth (it must be >= 1).",
base.push(P_MAXDEPTH),
def.push(P_MAXDEPTH));
maxSize = NO_SIZE_LIMIT;
if (state.parameters.exists(base.push(P_MAXSIZE), def.push(P_MAXSIZE))) {
maxSize = state.parameters.getInt(base.push(P_MAXSIZE), def.push(P_MAXSIZE), 1);
if (maxSize < 1) state.output.fatal("Maximum tree size, if defined, must be >= 1");
}
tree1 = TREE_UNFIXED;
if (state.parameters.exists(base.push(P_TREE).push("" + 0), def.push(P_TREE).push("" + 0))) {
tree1 =
state.parameters.getInt(base.push(P_TREE).push("" + 0), def.push(P_TREE).push("" + 0), 0);
if (tree1 == -1) state.output.fatal("Tree fixed value, if defined, must be >= 0");
}
tree2 = TREE_UNFIXED;
if (state.parameters.exists(base.push(P_TREE).push("" + 1), def.push(P_TREE).push("" + 1))) {
tree2 =
state.parameters.getInt(base.push(P_TREE).push("" + 1), def.push(P_TREE).push("" + 1), 0);
if (tree2 == -1) state.output.fatal("Tree fixed value, if defined, must be >= 0");
}
tossSecondParent = state.parameters.getBoolean(base.push(P_TOSS), def.push(P_TOSS), false);
}
public void setup(final EvolutionState state, final Parameter base) {
super.setup(state, base);
Parameter def = defaultBase();
Parameter p = base.push(P_NODESELECTOR).push("0");
Parameter d = def.push(P_NODESELECTOR).push("0");
nodeselect1 =
(GPNodeSelector) (state.parameters.getInstanceForParameter(p, d, GPNodeSelector.class));
nodeselect1.setup(state, p);
p = base.push(P_NODESELECTOR).push("1");
d = def.push(P_NODESELECTOR).push("1");
if (state.parameters.exists(p, d) && state.parameters.getString(p, d).equals(V_SAME))
// can't just copy it this time; the selectors
// use internal caches. So we have to clone it no matter what
nodeselect2 = (GPNodeSelector) (nodeselect1.clone());
else {
nodeselect2 =
(GPNodeSelector) (state.parameters.getInstanceForParameter(p, d, GPNodeSelector.class));
nodeselect2.setup(state, p);
}
numTries = state.parameters.getInt(base.push(P_NUM_TRIES), def.push(P_NUM_TRIES), 1);
if (numTries == 0)
state.output.fatal(
"GPCrossover Pipeline has an invalid number of tries (it must be >= 1).",
base.push(P_NUM_TRIES),
def.push(P_NUM_TRIES));
maxDepth = state.parameters.getInt(base.push(P_MAXDEPTH), def.push(P_MAXDEPTH), 1);
if (maxDepth == 0)
state.output.fatal(
"GPCrossover Pipeline has an invalid maximum depth (it must be >= 1).",
base.push(P_MAXDEPTH),
def.push(P_MAXDEPTH));
maxSize = NO_SIZE_LIMIT;
if (state.parameters.exists(base.push(P_MAXSIZE), def.push(P_MAXSIZE))) {
maxSize = state.parameters.getInt(base.push(P_MAXSIZE), def.push(P_MAXSIZE), 1);
if (maxSize < 1) state.output.fatal("Maximum tree size, if defined, must be >= 1");
}
tree1 = TREE_UNFIXED;
if (state.parameters.exists(base.push(P_TREE).push("" + 0), def.push(P_TREE).push("" + 0))) {
tree1 =
state.parameters.getInt(base.push(P_TREE).push("" + 0), def.push(P_TREE).push("" + 0), 0);
if (tree1 == -1) state.output.fatal("Tree fixed value, if defined, must be >= 0");
}
tree2 = TREE_UNFIXED;
if (state.parameters.exists(base.push(P_TREE).push("" + 1), def.push(P_TREE).push("" + 1))) {
tree2 =
state.parameters.getInt(base.push(P_TREE).push("" + 1), def.push(P_TREE).push("" + 1), 0);
if (tree2 == -1) state.output.fatal("Tree fixed value, if defined, must be >= 0");
}
tossSecondParent = state.parameters.getBoolean(base.push(P_TOSS), def.push(P_TOSS), false);
GPInitializer initializer = ((GPInitializer) state.initializer);
fs = initializer.treeConstraints[0].functionset;
templateTree = (GPNode) (((GPNode[]) fs.nodesByName.get("+"))[0]).lightClone();
GPNode left = (GPNode) (((GPNode[]) fs.nodesByName.get("*"))[0]).lightClone();
GPNode right = (GPNode) (((GPNode[]) fs.nodesByName.get("*"))[0]).lightClone();
// RegERC ercNode1 = (RegERC)((((GPNode[])fs.nodesByName.get("ERC"))[0]).lightClone());
//
// generate TR node that will be replated by random tree
// GPNode TRNode = new GPNode();
// ercNode.constraints = 6;
// ercNode.children = new GPNode[0];
templateTree.children = new GPNode[2];
templateTree.children[0] = left;
templateTree.children[1] = right;
left.children = new GPNode[2];
left.children[0] = null;
left.children[1] = null;
right.children = new GPNode[2];
right.children[0] = null;
right.children[1] = null;
}
