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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.

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/*
 * 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.machinereassignment.domain;

import com.thoughtworks.xstream.annotations.XStreamAlias;
import org.drools.planner.examples.common.domain.AbstractPersistable;

@XStreamAlias("MrGlobalPenaltyInfo")
public class MrGlobalPenaltyInfo extends AbstractPersistable {

    private int processMoveCostWeight;
    private int serviceMoveCostWeight;
    private int machineMoveCostWeight;

    public int getProcessMoveCostWeight() {
        return processMoveCostWeight;
    }

    public void setProcessMoveCostWeight(int processMoveCostWeight) {
        this.processMoveCostWeight = processMoveCostWeight;
    }

    public int getServiceMoveCostWeight() {
        return serviceMoveCostWeight;
    }

    public void setServiceMoveCostWeight(int serviceMoveCostWeight) {
        this.serviceMoveCostWeight = serviceMoveCostWeight;
    }

    public int getMachineMoveCostWeight() {
        return machineMoveCostWeight;
    }

    public void setMachineMoveCostWeight(int machineMoveCostWeight) {
        this.machineMoveCostWeight = machineMoveCostWeight;
    }
}