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OptaPlanner solves planning problems.
This lightweight, embeddable planning engine implements powerful and scalable algorithms
to optimize business resource scheduling and planning.
This module contains the examples which demonstrate how to use it in a normal Java application.
package org.optaplanner.examples.machinereassignment.domain;
import java.util.List;
import org.optaplanner.examples.common.domain.AbstractPersistableJackson;
import com.fasterxml.jackson.annotation.JsonIdentityInfo;
import com.fasterxml.jackson.annotation.JsonIgnore;
import com.fasterxml.jackson.annotation.ObjectIdGenerators;
@JsonIdentityInfo(scope = MrProcess.class, generator = ObjectIdGenerators.PropertyGenerator.class, property = "id")
public class MrProcess extends AbstractPersistableJackson {
private MrService service;
private int moveCost;
// Order is equal to resourceList so resource.getIndex() can be used
private List processRequirementList;
public MrProcess() { // For Jackson.
}
public MrProcess(int moveCost) {
this.moveCost = moveCost;
}
public MrProcess(MrService service) {
this.service = service;
}
public MrProcess(long id, MrService service, int moveCost) {
super(id);
this.service = service;
this.moveCost = moveCost;
}
public MrService getService() {
return service;
}
public int getMoveCost() {
return moveCost;
}
public List getProcessRequirementList() {
return processRequirementList;
}
public void setProcessRequirementList(List processRequirementList) {
this.processRequirementList = processRequirementList;
}
public MrProcessRequirement getProcessRequirement(MrResource resource) {
return processRequirementList.get(resource.getIndex());
}
public long getUsage(MrResource resource) {
return resource.getIndex() >= processRequirementList.size() ? 0L
: processRequirementList.get(resource.getIndex()).getUsage();
}
@JsonIgnore
public int getUsageMultiplicand() {
int multiplicand = 1;
for (MrProcessRequirement processRequirement : processRequirementList) {
multiplicand *= processRequirement.getUsage();
}
return multiplicand;
}
}