Package aima.core.environment.eightpuzzle

Examples of aima.core.environment.eightpuzzle.ManhattanHeuristicFunction

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      Problem problem = new Problem(boardWithThreeMoveSolution,
          EightPuzzleFunctionFactory.getActionsFunction(),
          EightPuzzleFunctionFactory.getResultFunction(),
          new EightPuzzleGoalTest());
      Search search = new GreedyBestFirstSearch(new GraphSearch(),
          new ManhattanHeuristicFunction());
      SearchAgent agent = new SearchAgent(problem, search);
      printActions(agent.getActions());
      printInstrumentation(agent.getInstrumentation());
    } catch (Exception e) {
      e.printStackTrace();
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    try {
      Problem problem = new Problem(random1, EightPuzzleFunctionFactory
          .getActionsFunction(), EightPuzzleFunctionFactory
          .getResultFunction(), new EightPuzzleGoalTest());
      SimulatedAnnealingSearch search = new SimulatedAnnealingSearch(
          new ManhattanHeuristicFunction());
      SearchAgent agent = new SearchAgent(problem, search);
      printActions(agent.getActions());
      System.out.println("Search Outcome=" + search.getOutcome());
      System.out.println("Final State=\n" + search.getLastSearchState());
      printInstrumentation(agent.getInstrumentation());
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    try {
      Problem problem = new Problem(random1, EightPuzzleFunctionFactory
          .getActionsFunction(), EightPuzzleFunctionFactory
          .getResultFunction(), new EightPuzzleGoalTest());
      Search search = new AStarSearch(new GraphSearch(),
          new ManhattanHeuristicFunction());
      SearchAgent agent = new SearchAgent(problem, search);
      printActions(agent.getActions());
      printInstrumentation(agent.getInstrumentation());
    } catch (Exception e) {
      e.printStackTrace();
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      Problem problem = new Problem(board,
          EightPuzzleFunctionFactory.getActionsFunction(),
          EightPuzzleFunctionFactory.getResultFunction(),
          new EightPuzzleGoalTest());
      Search search = new AStarSearch(new GraphSearch(),
          new ManhattanHeuristicFunction());
      SearchAgent agent = new SearchAgent(problem, search);
      Assert.assertEquals(23, agent.getActions().size());
      Assert.assertEquals("926",
          agent.getInstrumentation().getProperty("nodesExpanded"));
      Assert.assertEquals("534",
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      Problem problem = new Problem(board,
          EightPuzzleFunctionFactory.getActionsFunction(),
          EightPuzzleFunctionFactory.getResultFunction(),
          new EightPuzzleGoalTest());
      Search search = new GreedyBestFirstSearch(new GraphSearch(),
          new ManhattanHeuristicFunction());
      SearchAgent agent = new SearchAgent(problem, search);
      Assert.assertEquals(49, agent.getActions().size());
      Assert.assertEquals("197",
          agent.getInstrumentation().getProperty("nodesExpanded"));
      Assert.assertEquals("140",
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Related Classes of aima.core.environment.eightpuzzle.ManhattanHeuristicFunction

  • aima.core.util.datastructure.XYLocation
  • aima.gui.demo.search.EightPuzzleDemo
  • aima.test.core.unit.search.informed.AStarSearchTest
  • aima.test.core.unit.search.informed.GreedyBestFirstSearchTest
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