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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.solver.move;
import org.drools.WorkingMemory;
import org.drools.planner.examples.tsp.domain.CityAssignment;
import org.drools.runtime.rule.FactHandle;
public class TspMoveHelper {
public static void moveCityAssignmentAfterCityAssignment(WorkingMemory workingMemory,
CityAssignment cityAssignment, CityAssignment toNextCityAssignment) {
FactHandle cityAssignmentFactHandle = workingMemory.getFactHandle(cityAssignment);
FactHandle toNextCityAssignmentFactHandle = workingMemory.getFactHandle(toNextCityAssignment);
cityAssignment.setNextCityAssignment(toNextCityAssignment);
toNextCityAssignment.setPreviousCityAssignment(cityAssignment);
workingMemory.update(cityAssignmentFactHandle, cityAssignment);
// Note: for the score rules this isn't currently needed (and a performance leak)
// but removing it would not be clean code.
workingMemory.update(toNextCityAssignmentFactHandle, toNextCityAssignment);
}
private TspMoveHelper() {
}
}