पुनरावृत्ति को मजबूत बनाने खोज स्रोत कोड

कैसे यहाँ जावा में के बारे में: http://aima-java.googlecode.com/svn/trunk/aima-core/src/main/java/aima/core/search/uninformed/IterativeDeepeningSearch.java

package aima.core.search.uninformed;

import java.util.Collections;
import java.util.List;

import aima.core.agent.Action;
import aima.core.search.framework.Metrics;
import aima.core.search.framework.NodeExpander;
import aima.core.search.framework.Problem;
import aima.core.search.framework.Search;

/**
 * Artificial Intelligence A Modern Approach (3rd Edition): Figure 3.18, page
 * 89.<br>
 * <br>
 * 
 * <pre>
 * function ITERATIVE-DEEPENING-SEARCH(problem) returns a solution, or failure
 *   for depth = 0 to infinity  do
 *     result &lt;- DEPTH-LIMITED-SEARCH(problem, depth)
 *     if result != cutoff then return result
 * </pre>
 * 
 * Figure 3.18 The iterative deepening search algorithm, which repeatedly
 * applies depth-limited search with increasing limits. It terminates when a
 * solution is found or if the depth- limited search returns failure, meaning
 * that no solution exists.
 * 
 * @author Ravi Mohan
 * @author Ciaran O'Reilly
 */
public class IterativeDeepeningSearch extends NodeExpander implements Search {
    public static final String PATH_COST = "pathCost";

    // Not infinity, but will do, :-)
    private final int infinity = Integer.MAX_VALUE;

    private final Metrics iterationMetrics;

    public IterativeDeepeningSearch() {
        iterationMetrics = new Metrics();
        iterationMetrics.set(METRIC_NODES_EXPANDED, 0);
        iterationMetrics.set(PATH_COST, 0);
    }

    // function ITERATIVE-DEEPENING-SEARCH(problem) returns a solution, or
    // failure
    public List<Action> search(Problem p) throws Exception {
        iterationMetrics.set(METRIC_NODES_EXPANDED, 0);
        iterationMetrics.set(PATH_COST, 0);
        // for depth = 0 to infinity do
        for (int i = 0; i <= infinity; i++) {
            // result <- DEPTH-LIMITED-SEARCH(problem, depth)
            DepthLimitedSearch dls = new DepthLimitedSearch(i);
            List<Action> result = dls.search(p);
            iterationMetrics.set(METRIC_NODES_EXPANDED,
                    iterationMetrics.getInt(METRIC_NODES_EXPANDED)
                            + dls.getMetrics().getInt(METRIC_NODES_EXPANDED));
            // if result != cutoff then return result
            if (!dls.isCutOff(result)) {
                iterationMetrics.set(PATH_COST, dls.getPathCost());
                return result;
            }
        }
        return failure();
    }

    @Override
    public Metrics getMetrics() {
        return iterationMetrics;
    }

    //
    // PRIVATE METHODS
    //

    private List<Action> failure() {
        return Collections.emptyList();
    }
}