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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-examples module which contains examples on how to use
Drools Planner.
/*
* 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.examples.tsp.domain;
import com.thoughtworks.xstream.annotations.XStreamAlias;
import org.apache.commons.lang.builder.EqualsBuilder;
import org.apache.commons.lang.builder.HashCodeBuilder;
import org.drools.planner.api.domain.entity.PlanningEntity;
import org.drools.planner.api.domain.variable.PlanningVariable;
import org.drools.planner.api.domain.variable.ValueRange;
import org.drools.planner.api.domain.variable.ValueRangeType;
import org.drools.planner.api.domain.variable.ValueRanges;
import org.drools.planner.examples.common.domain.AbstractPersistable;
@PlanningEntity
@XStreamAlias("Visit")
public class Visit extends AbstractPersistable implements Appearance {
private City city; // the destinationCity
// Planning variables: changes during planning, between score calculations.
private Appearance previousAppearance;
public City getCity() {
return city;
}
public void setCity(City city) {
this.city = city;
}
@PlanningVariable(chained = true)
@ValueRanges({
@ValueRange(type = ValueRangeType.FROM_SOLUTION_PROPERTY, solutionProperty = "domicileList"),
@ValueRange(type = ValueRangeType.FROM_SOLUTION_PROPERTY, solutionProperty = "visitList",
excludeUninitializedPlanningEntity = true)})
public Appearance getPreviousAppearance() {
return previousAppearance;
}
public void setPreviousAppearance(Appearance previousAppearance) {
this.previousAppearance = previousAppearance;
}
// ************************************************************************
// Complex methods
// ************************************************************************
public int getDistanceToPreviousAppearance() {
if (previousAppearance == null) {
return 0;
}
return getDistanceTo(previousAppearance);
}
public int getDistanceTo(Appearance appearance) {
return city.getDistance(appearance.getCity());
}
/**
* Warning: previous and next do not point to new clones.
* @return never null
*/
public Visit clone() {
Visit clone = new Visit();
clone.id = id;
clone.city = city;
clone.previousAppearance = previousAppearance;
return clone;
}
/**
* The normal methods {@link #equals(Object)} and {@link #hashCode()} cannot be used because the rule engine already
* requires them (for performance in their original state).
* @see #solutionHashCode()
*/
public boolean solutionEquals(Object o) {
if (this == o) {
return true;
} else if (o instanceof Visit) {
Visit other = (Visit) o;
return new EqualsBuilder()
.append(id, other.id)
.append(city, other.city) // TODO performance leak: not needed?
.append(previousAppearance, other.previousAppearance) // TODO performance leak: not needed?
.isEquals();
} else {
return false;
}
}
/**
* The normal methods {@link #equals(Object)} and {@link #hashCode()} cannot be used because the rule engine already
* requires them (for performance in their original state).
* @see #solutionEquals(Object)
*/
public int solutionHashCode() {
return new HashCodeBuilder()
.append(id)
.append(city) // TODO performance leak: not needed?
.append(previousAppearance) // TODO performance leak: not needed?
.toHashCode();
}
@Override
public String toString() {
return city + "(after " + (previousAppearance == null ? "null" : previousAppearance.getCity()) + ")";
}
}