Package com.barrybecker4.optimization.strategy

Examples of com.barrybecker4.optimization.strategy.OptimizationStrategyType

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     * @return list of moves to a solution.
     */
    @Override
    public TilePlacementList solve()  {

        ParameterArray initialGuess = new TantrixPath(board);
        assert(initialGuess.size() > 0) : "The random path should have some tiles!";
        long startTime = System.currentTimeMillis();

        Optimizer optimizer = new Optimizer(this);
        optimizer.setListener(this);

        ParameterArray solution =
            optimizer.doOptimization(strategy, initialGuess, SOLVED_THRESH);

        solution_ =
            new TantrixBoard(((TantrixPath)solution).getTilePlacements(), board.getPrimaryColor());

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    @Override
    public void actionPerformed(ActionEvent e) {
        if (e.getSource() == strategyDropDown) {
            System.out.println("changed strategy to " + strategyDropDown.getSelectedItem());
            OptimizationStrategyType strategy = (OptimizationStrategyType) strategyDropDown.getSelectedItem();
            doTest(strategy);
        }
    }
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        OptimizeeProblem testProblem = new TrivialProblem();

        Optimizer optimizer = new Optimizer(testProblem, "test/temp.txt");

        Point2d solutionPosition = new Point2d(TrivialProblem.SOLUTION_VALUE, TrivialProblem.SOLUTION_VALUE);
        OptimizationStrategyType strategy = OptimizationStrategyType.GLOBAL_SAMPLING;

        new OptimizerEvalFrame(optimizer, solutionPosition, strategy, testProblem);
    }
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    @Override
    public void actionPerformed(ActionEvent e) {
        if (e.getSource() == strategyDropDown) {
            System.out.println("changed strategy to " + strategyDropDown.getSelectedItem());
            OptimizationStrategyType strategy = (OptimizationStrategyType) strategyDropDown.getSelectedItem();
            doTest(strategy);
        }
    }
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     * Draw one of the tile paths which takes one of three forms.
     */
    public void drawPath(Graphics2D g2, int pathNumber, TilePlacement tilePlacement,
                         Point position, double size) {

        HexTile tile = tilePlacement.getTile();
        int pathStartIndex = getPathStartIndex(tile, pathNumber);

        int i = pathStartIndex + 1;

        PathColor pathColor = tile.getEdgeColor(pathStartIndex);
        while (pathColor != tile.getEdgeColor(i++)) {
            assert(i<6): "Should never exceed 6";
        }

        int pathEndIndex = i-1;
        int diff = pathEndIndex - pathStartIndex;
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        this.numTiles = numTiles;
    }

    public TantrixBoard initialPosition() {
        //MathUtil.RANDOM.setSeed(1);
        return new TantrixBoard(new HexTiles().createRandomList(numTiles));
    }
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    public boolean isGoal(TantrixBoard position) {
        return position.isSolved();
    }

    public TilePlacementList legalMoves(TantrixBoard position) {
        return new MoveGenerator(position).generateMoves();
    }
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        HexTile tile = tilePlacement.getTile();
        int pathStartIndex = getPathStartIndex(tile, pathNumber);

        int i = pathStartIndex + 1;

        PathColor pathColor = tile.getEdgeColor(pathStartIndex);
        while (pathColor != tile.getEdgeColor(i++)) {
            assert(i<6): "Should never exceed 6";
        }

        int pathEndIndex = i-1;
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     */
    private int getPathStartIndex(HexTile tile, int pathNumber) {
        Set<PathColor> set = new HashSet<PathColor>();
        int i = 0;
        do {
            PathColor c = tile.getEdgeColor(i++);
            set.add(c);
        } while (set.size() <= pathNumber);
        return i-1;
    }
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        boolean consistentLoop = isLoop && allFit;
        boolean perfectLoop = false;
        double compactness = determineCompactness(path);

        if (consistentLoop) {
            Tantrix tantrix = new Tantrix(path.getTilePlacements());
            InnerSpaceDetector innerDetector = new InnerSpaceDetector(tantrix);
            perfectLoop = !innerDetector.hasInnerSpaces();
            //System.out.println("perfect loop");
        }
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