Examples of Solution

cn.edu.pku.dr.requirement.elicitation.data.Solution
com.itedge.solutionmanager.domain.impl.Solution
Solution domain object, holding state of solution, all relations to other objects and providing some bussines method to interact with. @author jhe
com.niacin.input.Solution
com.oti.Solution
The series of moves that when applied to a target board will result in a board in the goal state.
de.timefinder.data.algo.Solution
This class handles one solution of the algorithm. @author Peter Karich, peat_hal 'at' users 'dot' sourceforge 'dot' net
driftingdroids.model.Solution
javax.constraints.Solution
kodkod.engine.Solution
rmula being solved @specfield bounds: Bounds // the bounds on the formula @author Emina Torlak
main.Solution
@author 11.2
net.sf.cpsolver.ifs.solution.Solution
org.drools.planner.core.solution.Solution
A Solution represents a problem and a possible solution of that problem. A possible solution does not need to optimal or even feasible. A Solution does not even have to be initialized with a possible solution.
A Solution is mutable. Drools Planner will continuously modify the same solution for scalability reasons and clone it to recall the best solution.
org.drools.solver.core.solution.Solution
org.olat.ims.qti.container.qtielements.Solution
Initial Date: 24.11.2004 @author Mike Stock
org.optaplanner.core.api.domain.solution.Solution
A Solution represents a problem and a possible solution of that problem. A possible solution does not need to be optimal or even feasible. A Solution's variables do not even have to be initialized.
A Solution is mutable. For scalability reasons, the same Solution instance, called the working solution, is continuously modified. It's cloned to recall the best solution.
This annotation described declarative properties of the planning solution. The planning solution class must implement this interface which is needed to get/set state. But the planning solution class must also be annotated with {@link PlanningSolution}describes declarative properties.
org.optaplanner.core.impl.solution.Solution
org.papoose.core.spi.Solution
A bundle that can be resolved with a particular set of wires and list of required bundles. @version $Revision: 228 $ $Date: 2010-01-12 15:40:06 -0600 (Tue, 12 Jan 2010) $
ptolemy.data.unit.Solution
An instance of this class contains a "solution" of Unit constraints. In essence, the solution represents the constraints between a set of Unit variables, and a set of Units. The table below illustrates this.

V1 V2 ... Vl

C1 P11 P12 ... P1l U1

C2 P21 P22 ... P2l U2

: : : ... : :

Ck Pk1 Pk2 ... Pkl Uk

Here, the columns V1, V2, ..., Vl represent l variables. The columns C1, C2, ..., Ck represent k constraints. The U1, U2, ..., Uk on the right represent Units. The meaning of the ith row is that V1^Pi1 + V2^pi2 + .. +Vk^pik = Uk.
Generally, this class is used by creating an instance that is derived from the Units specifications of a model. Then, a method is invoked that results in other instances being created that are transformations of the original instance. These transformed instances are equivalent, in a sense, to the original instance. The difference is that they provide a different perspective than that of the original instance. In particular, some of the transformed instances can be used to highlight inconsistencies not apparent in the original instance. @author Rowland R Johnson @version $Id: Solution.java,v 1.27 2007/12/16 07:29:45 cxh Exp $ @since Ptolemy II 4.0 @Pt.ProposedRating Red (rowland) @Pt.AcceptedRating Red (rowland)
ru.syktsu.projects.oko2.server.objects.Solution
Класс описывающий решение задачи, отправленное участником (solution of problem posted by participant) @author Konst, XupyprMV
uk.ac.cranfield.thesis.shared.Solution
uk.ac.cranfield.thesis.shared.model.Solution
validation.solution.Solution
class to represent a solution of the validation : by default, the solution is empty @author Hélène Collavizza @date June 2008

	V1	V2	...	Vl
C1	P11	P12	...	P1l	U1
C2	P21	P22	...	P2l	U2
:	:	:	...	:	:
Ck	Pk1	Pk2	...	Pkl	Uk

Examples of org.drools.planner.core.solution.Solution

        Solution solution = solutionDao.readSolution(file);
        guiScoreDirector.setWorkingSolution(solution);
    }


    public void saveSolution(File file) {
        Solution solution = guiScoreDirector.getWorkingSolution();
        solutionDao.writeSolution(solution, file);
    }

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Examples of org.drools.planner.core.solution.Solution

        Solution solution = guiScoreDirector.getWorkingSolution();
        solutionDao.writeSolution(solution, file);
    }


    public void exportSolution(File file) {
        Solution solution = guiScoreDirector.getWorkingSolution();
        exporter.writeSolution(solution, file);
    }

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Examples of org.drools.planner.core.solution.Solution

        Score bestScore = localSearchSolverScope.getBestScore();
        if (newScore.compareTo(bestScore) > 0) {
            logger.info("New score ({}) is better then last best score ({}). Updating best solution and best score.",
                    newScore, bestScore);
            localSearchSolverScope.setBestSolutionStepIndex(stepScope.getStepIndex());
            Solution newBestSolution = stepScope.createOrGetClonedSolution();
            localSearchSolverScope.setBestSolution(newBestSolution);
            localSearchSolverScope.setBestScore(newBestSolution.getScore());
            solverEventSupport.fireBestSolutionChanged(newBestSolution);
        } else {
            logger.info("New score ({}) is not better then last best score ({}).", newScore, bestScore);
        }
    }

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Examples of org.drools.planner.core.solution.Solution

        Map<File, SolverStatistic> unsolvedSolutionFileToStatisticMap = new LinkedHashMap<File, SolverStatistic>();
        for (SolverBenchmark solverBenchmark : solverBenchmarkList) {
            Solver solver = solverBenchmark.getLocalSearchSolverConfig().buildSolver();
            for (SolverBenchmarkResult result : solverBenchmark.getSolverBenchmarkResultList()) {
                File unsolvedSolutionFile = result.getUnsolvedSolutionFile();
                Solution unsolvedSolution = readUnsolvedSolution(xStream, unsolvedSolutionFile);
                solver.setStartingSolution(unsolvedSolution);
                if (solverStatisticType != SolverStatisticType.NONE) {
                    SolverStatistic statistic = unsolvedSolutionFileToStatisticMap.get(unsolvedSolutionFile);
                    if (statistic == null) {
                        statistic = solverStatisticType.create();
                        unsolvedSolutionFileToStatisticMap.put(unsolvedSolutionFile, statistic);
                    }
                    statistic.addListener(solver, solverBenchmark.getName());
                }
                solver.solve();
                result.setTimeMillisSpend(solver.getTimeMillisSpend());
                Solution solvedSolution = solver.getBestSolution();
                result.setScore(solvedSolution.getScore());
                if (solverStatisticType != SolverStatisticType.NONE) {
                    SolverStatistic statistic = unsolvedSolutionFileToStatisticMap.get(unsolvedSolutionFile);
                    statistic.removeListener(solver, solverBenchmark.getName());
                }
                writeSolvedSolution(xStream, solverBenchmark, result, solvedSolution);

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Examples of org.drools.planner.core.solution.Solution

        }
        benchmarkingEnded(xStream, unsolvedSolutionFileToStatisticMap);
    }


    private Solution readUnsolvedSolution(XStream xStream, File unsolvedSolutionFile) {
        Solution unsolvedSolution;
        Reader reader = null;
        try {
            reader = new InputStreamReader(new FileInputStream(unsolvedSolutionFile), "utf-8");
            unsolvedSolution = (Solution) xStream.fromXML(reader);
        } catch (IOException e) {

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Examples of org.drools.planner.core.solution.Solution

        solverFactory.getSolverConfig().setTerminationConfig(terminationConfig);
        return solverFactory;
    }


    private Solver solve(XmlSolverFactory solverFactory, File unsolvedDataFile) {
        Solution planningProblem = solutionDao.readSolution(unsolvedDataFile);
        Solver solver = solverFactory.buildSolver();
        solver.setPlanningProblem(planningProblem);
        solver.solve();
        return solver;
    }

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Examples of org.drools.planner.core.solution.Solution

        solver.solve();
        return solver;
    }


    private void assertBestSolution(Solver solver, String scoreAttainedString) {
        Solution bestSolution = solver.getBestSolution();
        assertNotNull(bestSolution);
        Score bestScore = bestSolution.getScore();
        Score scoreAttained = solver.getScoreDirectorFactory().getScoreDefinition().parseScore(scoreAttainedString);
        assertTrue("The bestScore (" + bestScore + ") must be at least scoreAttained (" + scoreAttained + ").",
                bestScore.compareTo(scoreAttained) >= 0);
    }

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Examples of org.drools.solver.core.solution.Solution

    public void testSmoke() {
        XmlSolverConfigurer configurer = new XmlSolverConfigurer();
        configurer.configure(SOLVER_CONFIG);
        Solver solver = configurer.buildSolver();
        SolutionDao solutionDao = new XstreamSolutionDaoImpl();
        Solution startingSolution = solutionDao.readSolution(getClass().getResourceAsStream(UNSOLVED_DATA));
        solver.setStartingSolution(startingSolution);
        solver.solve();
        Solution bestSolution = solver.getBestSolution();
        assertNotNull(bestSolution);
        double bestScore = solver.getBestScore();
        assertEquals(0.0, bestScore);
    }

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Examples of org.olat.ims.qti.container.qtielements.Solution

            el_chosenanswer = (Element) itc.getEl_item().selectSingleNode(".//response_label[@ident='" + answerident + "']//material");
          }
          output.addItem_El_response(el_chosenanswer,el_resolved); // give the whole itemfeedback to render
        } else if (feedbacktype.equals("Solution")) {
          Element el_solution = (Element) el_resolved.selectSingleNode(".//solution");
          if (el_solution != null) output.setSolution(new Solution(el_solution));
        } else if (feedbacktype.equals("Hint")) {
          //<!ENTITY % I_FeedbackStyle " feedbackstyle  (Complete | Incremental | Multilevel | Proprietary )  'Complete'">
          Element el_hint = (Element) el_resolved.selectSingleNode(".//hint");
          output.setHint(new Hint(el_hint));
        }

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Examples of org.olat.ims.qti.container.qtielements.Solution

              displayFeedback(sb, el_hint, ai, translator.getLocale());
            }
          }
          //item solution?
          if (info.isSolution()) {
            Solution el_solution = info.getCurrentOutput().getSolution();
            displayFeedback(sb, el_solution, ai, translator.getLocale());
          }
          // item fb?
          if (info.isFeedback()) {
            if (info.getCurrentOutput().hasItem_Responses()) {

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