OptaPlanner笔记6 N皇后

N 个皇后

问题描述

将n个皇后放在n大小的棋盘上,没有两个皇后可以互相攻击。 最常见的 n 个皇后谜题是八个皇后谜题,n = 8:

约束:

  • 使用 n 列和 n 行的棋盘。
  • 在棋盘上放置n个皇后。
  • 没有两个女王可以互相攻击。女王可以攻击同一水平线、垂直线或对角线上的任何其他女王。

求解结果(time limit 5s)

问题大小

n 搜索空间
4 256
8 10^7
16 10^19
32 10^48
64 10^115
256 10^616

域模型

java 复制代码
@Data
@AllArgsConstructor
public class Column {
    private int index;
}
@Data
@AllArgsConstructor
public class Row {
    private int index;
}
@Data
@AllArgsConstructor
@NoArgsConstructor
@PlanningEntity
public class Queen {
    @PlanningId
    private Integer id;
    @PlanningVariable
    private Column column;
    @PlanningVariable
    private Row row;
    // 升序对角线索引(左上到右下)
    public int getAscendingDiagonalIndex() {
        return column.getIndex() + row.getIndex();
    }
    // 降序对角线索引(左下到右上)
    public int getDescendingDiagonalIndex() {
        return column.getIndex() - row.getIndex();
    }
}
@Data
@AllArgsConstructor
@NoArgsConstructor
@PlanningSolution
public class NQueen {
    @ValueRangeProvider
    @ProblemFactCollectionProperty
    private List<Column> columnList;
    @ValueRangeProvider
    @ProblemFactCollectionProperty
    private List<Row> rowList;
    @PlanningEntityCollectionProperty
    private List<Queen> queenList;
    @PlanningScore
    private HardSoftScore score;
}

例如:

Queen Column Row AscendingDiagonalIndex DescendingDiagonalIndex
A1 0 1 1 (**) -1
B0 1 0 (*) 1 (**) 1
C2 2 2 4 0
D0 3 0 (*) 3 3

(*)(**)的皇后可以互相攻击

求解器(约束提供者)

java 复制代码
public class NQueenConstraintProvider implements ConstraintProvider {
    @Override
    public Constraint[] defineConstraints(ConstraintFactory constraintFactory) {
        return new Constraint[]{
        		// 列冲突
                columnConflict(constraintFactory),
                // 行冲突
                rowConflict(constraintFactory),
                // 升序对角线冲突
                ascendingDiagonalIndexConflict(constraintFactory),
                // 降序对角线冲突
                descendingDiagonalIndexConflict(constraintFactory),
        };
    }

    public Constraint columnConflict(ConstraintFactory constraintFactory) {
        return constraintFactory
                .forEach(Queen.class)
                .join(Queen.class,
                        Joiners.equal(Queen::getColumn),
                        Joiners.lessThan(Queen::getId))
                .penalize(HardSoftScore.ONE_HARD)
                .asConstraint("Column conflict");
    }

    public Constraint rowConflict(ConstraintFactory constraintFactory) {
        return constraintFactory
                .forEach(Queen.class)
                .join(Queen.class,
                        Joiners.equal(Queen::getRow),
                        Joiners.lessThan(Queen::getId))
                .penalize(HardSoftScore.ONE_HARD)
                .asConstraint("Row conflict");
    }

    public Constraint ascendingDiagonalIndexConflict(ConstraintFactory constraintFactory) {
        return constraintFactory
                .forEach(Queen.class)
                .join(Queen.class,
                        Joiners.equal(Queen::getAscendingDiagonalIndex),
                        Joiners.lessThan(Queen::getId))
                .penalize(HardSoftScore.ONE_HARD)
                .asConstraint("AscendingDiagonalIndex conflict");
    }

    public Constraint descendingDiagonalIndexConflict(ConstraintFactory constraintFactory) {
        return constraintFactory
                .forEach(Queen.class)
                .join(Queen.class,
                        Joiners.equal(Queen::getDescendingDiagonalIndex),
                        Joiners.lessThan(Queen::getId))
                .penalize(HardSoftScore.ONE_HARD)
                .asConstraint("DescendingDiagonalIndex conflict");
    }
}

应用

java 复制代码
public class NQueenApp {
    public static void main(String[] args) {
        SolverFactory<NQueen> solverFactory = SolverFactory.create(new SolverConfig()
                .withSolutionClass(NQueen.class)
                .withEntityClasses(Queen.class)
                .withConstraintProviderClass(NQueenConstraintProvider.class)
                .withTerminationSpentLimit(Duration.ofSeconds(5)));
        NQueen problem = generateDemoData();
        Solver<NQueen> solver = solverFactory.buildSolver();
        NQueen solution = solver.solve(problem);
        printTimetable(solution);
    }

    public static NQueen generateDemoData() {
        List<Column> columnList = new ArrayList<>();
        List<Row> rowList = new ArrayList<>();
        List<Queen> queenList = new ArrayList<>();
        for (int i = 0; i < 8; i++) {
            columnList.add(new Column(i));
            rowList.add(new Row(i));
            queenList.add(new Queen(i, null, null));
        }
        return new NQueen(columnList, rowList, queenList, null);
    }

    private static void printTimetable(NQueen nQueen) {
        System.out.println("");
        List<Column> columnList = nQueen.getColumnList();
        List<Row> rowList = nQueen.getRowList();
        List<Queen> queenList = nQueen.getQueenList();
        Map<Column, Map<Row, List<Queen>>> queenMap = queenList.stream()
                .filter(queen -> queen.getColumn() != null && queen.getRow() != null)
                .collect(Collectors.groupingBy(Queen::getColumn, Collectors.groupingBy(Queen::getRow)));
        System.out.println("|     | " + columnList.stream()
                .map(room -> String.format("%-3s", room.getIndex())).collect(Collectors.joining(" | ")) + " |");
        System.out.println("|" + "-----|".repeat(columnList.size() + 1));
        for (Column column : columnList) {
            List<List<Queen>> cellList = rowList.stream()
                    .map(row -> {
                        Map<Row, List<Queen>> byRowMap = queenMap.get(column);
                        if (byRowMap == null) {
                            return Collections.<Queen>emptyList();
                        }
                        List<Queen> cellQueenList = byRowMap.get(row);
                        if (cellQueenList == null) {
                            return Collections.<Queen>emptyList();
                        }
                        return cellQueenList;
                    })
                    .collect(Collectors.toList());

            System.out.println("| " + String.format("%-3s", column.getIndex()) + " | "
                    + cellList.stream().map(cellQueenList -> String.format("%-3s",
                            cellQueenList.stream().map(queen -> queen.getId().toString()).collect(Collectors.joining(", "))))
                    .collect(Collectors.joining(" | "))
                    + " |");
            System.out.println("|" + "-----|".repeat(columnList.size() + 1));
        }
        List<Queen> unassignedQueens = queenList.stream()
                .filter(Queen -> Queen.getColumn() == null || Queen.getRow() == null)
                .collect(Collectors.toList());
        if (!unassignedQueens.isEmpty()) {
            System.out.println("");
            System.out.println("Unassigned Queens");
            for (Queen Queen : unassignedQueens) {
                System.out.println("  " + Queen.getColumn() + " - " + Queen.getRow());
            }
        }
    }
}
相关推荐
88号技师4 小时前
2024年12月一区SCI-加权平均优化算法Weighted average algorithm-附Matlab免费代码
人工智能·算法·matlab·优化算法
IT猿手4 小时前
多目标应用(一):多目标麋鹿优化算法(MOEHO)求解10个工程应用,提供完整MATLAB代码
开发语言·人工智能·算法·机器学习·matlab
88号技师4 小时前
几款性能优秀的差分进化算法DE(SaDE、JADE,SHADE,LSHADE、LSHADE_SPACMA、LSHADE_EpSin)-附Matlab免费代码
开发语言·人工智能·算法·matlab·优化算法
我要学编程(ಥ_ಥ)5 小时前
一文详解“二叉树中的深搜“在算法中的应用
java·数据结构·算法·leetcode·深度优先
埃菲尔铁塔_CV算法5 小时前
FTT变换Matlab代码解释及应用场景
算法
许野平6 小时前
Rust: enum 和 i32 的区别和互换
python·算法·rust·enum·i32
chenziang16 小时前
leetcode hot100 合并区间
算法
chenziang16 小时前
leetcode hot100 对称二叉树
算法·leetcode·职场和发展
szuzhan.gy7 小时前
DS查找—二叉树平衡因子
数据结构·c++·算法
一只码代码的章鱼7 小时前
排序算法 (插入,选择,冒泡,希尔,快速,归并,堆排序)
数据结构·算法·排序算法