private void btnHillClimbing_Click(object sender, System.EventArgs e)
{
this.textBox1.Text = "NQueensDemo HillClimbing -->" + System.Environment.NewLine;
Problem problem = new Problem(new NQueensBoard(8),new NQueensSuccessorFunction(), new NQueensGoalTest(),new QueensToBePlacedHeuristic());
Search search = new HillClimbingSearch();
SearchAgent agent = new SearchAgent(problem,search);
printActions(agent.getActions());
printInstrumentation(agent.getInstrumentation());
}
private void btnRecursiveDLS_Click(object sender, System.EventArgs e)
{
this.textBox1.Text = "NQueensDemo recursive DLS -->" + System.Environment.NewLine;
Problem problem = new Problem(new NQueensBoard(8),new NQueensSuccessorFunction(), new NQueensGoalTest());
Search search = new DepthLimitedSearch(8);
SearchAgent agent = new SearchAgent(problem, search);
printActions(agent.getActions());
printInstrumentation(agent.getInstrumentation());
}
private void btnIterativeDeeping_Click(object sender, System.EventArgs e)
{
this.textBox1.Text = "NQueensDemo Iterative DS -->" + System.Environment.NewLine;
Problem problem = new Problem(new NQueensBoard(8),new NQueensSuccessorFunction(), new NQueensGoalTest());
Search search = new IterativeDeepeningSearch();
SearchAgent agent = new SearchAgent(problem,search);
printActions(agent.getActions());
printInstrumentation(agent.getInstrumentation());
}
private void btnBreadthFirst_Click(object sender, System.EventArgs e)
{
this.textBox1.Text = "NQueensDemo BFS -->" + System.Environment.NewLine;
Problem problem = new Problem(new NQueensBoard(8),new NQueensSuccessorFunction(), new NQueensGoalTest());
Search search = new BreadthFirstSearch(new TreeSearch());
SearchAgent agent2 = new SearchAgent(problem, search);
printActions(agent2.getActions());
printInstrumentation(agent2.getInstrumentation());
}
private void btnSimulatedAnnealing_Click(object sender, System.EventArgs e)
{
this.textBox1.Text = "EightPuzzleDemo Simulated Annealing Search -->" + System.Environment.NewLine;
Problem problem = new Problem(random1,
new EightPuzzleSuccessorFunction(),
new EightPuzzleGoalTest(), new ManhattanHeuristicFunction());
Search search = new SimulatedAnnealingSearch();
SearchAgent agent = new SearchAgent(problem, search);
printActions(agent.getActions());
printInstrumentation(agent.getInstrumentation());
}
private void btnAStar_Click(object sender, System.EventArgs e)
{
this.textBox1.Text = "EightPuzzleDemo AStar Search (MisplacedTileHeursitic)-->" + System.Environment.NewLine;
Problem problem = new Problem(random1,
new EightPuzzleSuccessorFunction(),
new EightPuzzleGoalTest(),
new MisplacedTilleHeuristicFunction());
Search search = new AStarSearch(new GraphSearch());
SearchAgent agent = new SearchAgent(problem, search);
printActions(agent.getActions());
printInstrumentation(agent.getInstrumentation());
}
private void btnGreedyBestFirstMan_Click(object sender, System.EventArgs e)
{
this.textBox1.Text = "EightPuzzleDemo Greedy Best First Search (ManhattanHeursitic)-->" + System.Environment.NewLine;
Problem problem = new Problem(boardWithThreeMoveSolution,
new EightPuzzleSuccessorFunction(),
new EightPuzzleGoalTest(), new ManhattanHeuristicFunction());
Search search = new GreedyBestFirstSearch(new GraphSearch());
SearchAgent agent = new SearchAgent(problem, search);
printActions(agent.getActions());
printInstrumentation(agent.getInstrumentation());
}
private void btnIDLS_Click(object sender, System.EventArgs e)
{
this.textBox1.Text = "EightPuzzleDemo Iterative DLS-->" + System.Environment.NewLine;
Problem problem = new Problem(random1,
new EightPuzzleSuccessorFunction(),
new EightPuzzleGoalTest());
Search search = new IterativeDeepeningSearch();
SearchAgent agent = new SearchAgent(problem, search);
printActions(agent.getActions());
printInstrumentation(agent.getInstrumentation());
}