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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.

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package org.optaplanner.examples.cloudbalancing.swingui.realtime;

import java.util.ArrayList;
import java.util.function.LongFunction;

import org.optaplanner.core.api.solver.change.ProblemChange;
import org.optaplanner.core.api.solver.change.ProblemChangeDirector;
import org.optaplanner.examples.cloudbalancing.domain.CloudBalance;
import org.optaplanner.examples.cloudbalancing.domain.CloudComputer;

public class AddComputerProblemChange implements ProblemChange {

    private final LongFunction generator;

    public AddComputerProblemChange(LongFunction generator) {
        this.generator = generator;
    }

    @Override
    public void doChange(CloudBalance cloudBalance, ProblemChangeDirector problemChangeDirector) {
        // Set a unique id on the new computer
        long nextComputerId = 0L;
        for (CloudComputer otherComputer : cloudBalance.getComputerList()) {
            if (nextComputerId <= otherComputer.getId()) {
                nextComputerId = otherComputer.getId() + 1L;
            }
        }
        CloudComputer computer = generator.apply(nextComputerId);
        // A SolutionCloner does not clone problem fact lists (such as computerList)
        // Shallow clone the computerList so only workingSolution is affected, not bestSolution or guiSolution
        cloudBalance.setComputerList(new ArrayList<>(cloudBalance.getComputerList()));
        // Add the problem fact itself
        problemChangeDirector.addProblemFact(computer, cloudBalance.getComputerList()::add);
    }

}