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Drools Planner optimizes automated planning by combining metaheuristic search algorithms with rule
engine powered score calculation. This is the drools-planner-core module which contains metaheuristic
algorithms.
/*
* Copyright 2011 JBoss Inc
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.drools.planner.core.move.generic;
import java.util.Collection;
import java.util.Collections;
import org.apache.commons.lang.ObjectUtils;
import org.apache.commons.lang.builder.EqualsBuilder;
import org.apache.commons.lang.builder.HashCodeBuilder;
import org.drools.planner.core.domain.variable.PlanningVariableDescriptor;
import org.drools.planner.core.move.Move;
import org.drools.planner.core.score.director.ScoreDirector;
public class GenericChangeMove implements Move {
protected final Object planningEntity;
protected final PlanningVariableDescriptor planningVariableDescriptor;
protected final Object toPlanningValue;
public GenericChangeMove(Object planningEntity, PlanningVariableDescriptor planningVariableDescriptor,
Object toPlanningValue) {
this.planningEntity = planningEntity;
this.planningVariableDescriptor = planningVariableDescriptor;
this.toPlanningValue = toPlanningValue;
}
public boolean isMoveDoable(ScoreDirector scoreDirector) {
Object oldPlanningValue = planningVariableDescriptor.getValue(planningEntity);
return !ObjectUtils.equals(oldPlanningValue, toPlanningValue);
}
public Move createUndoMove(ScoreDirector scoreDirector) {
Object oldPlanningValue = planningVariableDescriptor.getValue(planningEntity);
return new GenericChangeMove(planningEntity, planningVariableDescriptor, oldPlanningValue);
}
public void doMove(ScoreDirector scoreDirector) {
scoreDirector.beforeVariableChanged(planningEntity, planningVariableDescriptor.getVariableName());
planningVariableDescriptor.setValue(planningEntity, toPlanningValue);
scoreDirector.afterVariableChanged(planningEntity, planningVariableDescriptor.getVariableName());
}
public Collection getPlanningEntities() {
return Collections.singletonList(planningEntity);
}
public Collection getPlanningValues() {
return Collections.singletonList(toPlanningValue);
}
public boolean equals(Object o) {
if (this == o) {
return true;
} else if (o instanceof GenericChangeMove) {
GenericChangeMove other = (GenericChangeMove) o;
return new EqualsBuilder()
.append(planningEntity, other.planningEntity)
.append(planningVariableDescriptor.getVariableName(),
other.planningVariableDescriptor.getVariableName())
.append(toPlanningValue, other.toPlanningValue)
.isEquals();
} else {
return false;
}
}
public int hashCode() {
return new HashCodeBuilder()
.append(planningEntity)
.append(planningVariableDescriptor.getVariableName())
.append(toPlanningValue)
.toHashCode();
}
public String toString() {
return planningEntity + " => " + toPlanningValue;
}
}