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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.CompareToBuilder;
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.ValueRangeFromSolutionProperty;
import org.drools.planner.examples.common.domain.AbstractPersistable;
@PlanningEntity
@XStreamAlias("CityAssignment")
public class CityAssignment extends AbstractPersistable implements Comparable {
private City city;
// Planning variables: changes during planning, between score calculations.
private CityAssignment previousCityAssignment;
private CityAssignment nextCityAssignment;
public City getCity() {
return city;
}
public void setCity(City city) {
this.city = city;
}
// TODO FIXME this isn't a planning variable
@PlanningVariable
@ValueRangeFromSolutionProperty(propertyName = "cityAssignmentList")
public CityAssignment getPreviousCityAssignment() {
return previousCityAssignment;
}
public void setPreviousCityAssignment(CityAssignment previousCityAssignment) {
this.previousCityAssignment = previousCityAssignment;
}
@PlanningVariable
@ValueRangeFromSolutionProperty(propertyName = "cityAssignmentList")
public CityAssignment getNextCityAssignment() {
return nextCityAssignment;
}
public void setNextCityAssignment(CityAssignment nextCityAssignment) {
this.nextCityAssignment = nextCityAssignment;
}
public int compareTo(CityAssignment other) {
return new CompareToBuilder()
.append(city, other.city)
.append(id, other.id)
.toComparison();
}
/**
* Warning: previous and next do not point to new clones.
* @return never null
*/
public CityAssignment clone() {
CityAssignment clone = new CityAssignment();
clone.id = id;
clone.city = city;
clone.previousCityAssignment = previousCityAssignment;
clone.nextCityAssignment = nextCityAssignment;
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 CityAssignment) {
CityAssignment other = (CityAssignment) o;
return new EqualsBuilder()
.append(id, other.id)
.append(city, other.city) // TODO performance leak: not needed?
.append(previousCityAssignment, other.previousCityAssignment) // TODO performance leak: not needed?
.append(nextCityAssignment, other.nextCityAssignment)
.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(previousCityAssignment) // TODO performance leak: not needed?
.append(nextCityAssignment)
.toHashCode();
}
@Override
public String toString() {
return city.toString();
}
public int getDistanceToNextCityAssignment() {
return city.getDistance(nextCityAssignment.getCity());
}
}