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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.nqueens.domain;

import java.util.List;

import org.optaplanner.core.api.domain.solution.PlanningEntityCollectionProperty;
import org.optaplanner.core.api.domain.solution.PlanningScore;
import org.optaplanner.core.api.domain.solution.PlanningSolution;
import org.optaplanner.core.api.domain.solution.ProblemFactCollectionProperty;
import org.optaplanner.core.api.domain.valuerange.ValueRangeProvider;
import org.optaplanner.core.api.score.buildin.simple.SimpleScore;
import org.optaplanner.examples.common.domain.AbstractPersistable;

@PlanningSolution
public class NQueens extends AbstractPersistable {

    private int n;

    private List columnList;
    private List rowList;

    private List queenList;

    private SimpleScore score;

    public NQueens() {
    }

    public NQueens(long id) {
        super(id);
    }

    public int getN() {
        return n;
    }

    public void setN(int n) {
        this.n = n;
    }

    @ProblemFactCollectionProperty
    public List getColumnList() {
        return columnList;
    }

    public void setColumnList(List columnList) {
        this.columnList = columnList;
    }

    @ValueRangeProvider
    @ProblemFactCollectionProperty
    public List getRowList() {
        return rowList;
    }

    public void setRowList(List rowList) {
        this.rowList = rowList;
    }

    @PlanningEntityCollectionProperty
    public List getQueenList() {
        return queenList;
    }

    public void setQueenList(List queenList) {
        this.queenList = queenList;
    }

    @PlanningScore
    public SimpleScore getScore() {
        return score;
    }

    public void setScore(SimpleScore score) {
        this.score = score;
    }

    // ************************************************************************
    // Complex methods
    // ************************************************************************

}