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author | 20001LastOrder <boqi.chen@mail.mcgill.ca> | 2019-07-31 14:45:06 -0400 |
---|---|---|
committer | 20001LastOrder <boqi.chen@mail.mcgill.ca> | 2019-07-31 14:45:06 -0400 |
commit | 5e8b8c3a817dd9f7ae46338b6dbd3684dfb885fe (patch) | |
tree | 61b473589e5e43a58481ea28b7bbeeaf0860dcdb /Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf | |
parent | consider node types during generation (diff) | |
download | VIATRA-Generator-5e8b8c3a817dd9f7ae46338b6dbd3684dfb885fe.tar.gz VIATRA-Generator-5e8b8c3a817dd9f7ae46338b6dbd3684dfb885fe.tar.zst VIATRA-Generator-5e8b8c3a817dd9f7ae46338b6dbd3684dfb885fe.zip |
Further development of realistic solver, create generation config for ecore models
Diffstat (limited to 'Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf')
3 files changed, 68 insertions, 95 deletions
diff --git a/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/ViatraReasoner.xtend b/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/ViatraReasoner.xtend index fbe620a6..2ffff58a 100644 --- a/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/ViatraReasoner.xtend +++ b/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/ViatraReasoner.xtend | |||
@@ -34,7 +34,6 @@ import org.eclipse.viatra.dse.api.DesignSpaceExplorer.DseLoggingLevel | |||
34 | import org.eclipse.viatra.dse.solutionstore.SolutionStore | 34 | import org.eclipse.viatra.dse.solutionstore.SolutionStore |
35 | import org.eclipse.viatra.dse.statecode.IStateCoderFactory | 35 | import org.eclipse.viatra.dse.statecode.IStateCoderFactory |
36 | import hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner.dse.HillClimbingOnRealisticMetricStrategyForModelGeneration | 36 | import hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner.dse.HillClimbingOnRealisticMetricStrategyForModelGeneration |
37 | import hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner.dse.BestFirstSearchForMetricModelGeneration | ||
38 | 37 | ||
39 | class ViatraReasoner extends LogicReasoner{ | 38 | class ViatraReasoner extends LogicReasoner{ |
40 | val PartialInterpretationInitialiser initialiser = new PartialInterpretationInitialiser() | 39 | val PartialInterpretationInitialiser initialiser = new PartialInterpretationInitialiser() |
@@ -114,7 +113,7 @@ class ViatraReasoner extends LogicReasoner{ | |||
114 | dse.addTransformationRule(rule) | 113 | dse.addTransformationRule(rule) |
115 | } | 114 | } |
116 | 115 | ||
117 | val strategy = new HillClimbingOnRealisticMetricStrategyForModelGeneration(workspace,viatraConfig,method) | 116 | val strategy = new BestFirstStrategyForModelGeneration(workspace,viatraConfig,method) |
118 | viatraConfig.progressMonitor.workedForwardTransformation | 117 | viatraConfig.progressMonitor.workedForwardTransformation |
119 | 118 | ||
120 | val transformationTime = System.nanoTime - transformationStartTime | 119 | val transformationTime = System.nanoTime - transformationStartTime |
diff --git a/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/dse/BestFirstStrategyForModelGeneration.java b/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/dse/BestFirstStrategyForModelGeneration.java index 71178f3d..d9a1e54c 100644 --- a/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/dse/BestFirstStrategyForModelGeneration.java +++ b/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/dse/BestFirstStrategyForModelGeneration.java | |||
@@ -14,19 +14,19 @@ import java.util.Arrays; | |||
14 | import java.util.Collection; | 14 | import java.util.Collection; |
15 | import java.util.Collections; | 15 | import java.util.Collections; |
16 | import java.util.Comparator; | 16 | import java.util.Comparator; |
17 | import java.util.HashMap; | ||
18 | import java.util.Iterator; | 17 | import java.util.Iterator; |
19 | import java.util.LinkedList; | 18 | import java.util.LinkedList; |
20 | import java.util.List; | 19 | import java.util.List; |
21 | import java.util.Map; | ||
22 | import java.util.PriorityQueue; | 20 | import java.util.PriorityQueue; |
23 | import java.util.Random; | 21 | import java.util.Random; |
24 | 22 | ||
23 | import org.apache.log4j.Level; | ||
25 | import org.apache.log4j.Logger; | 24 | import org.apache.log4j.Logger; |
26 | import org.eclipse.emf.ecore.util.EcoreUtil; | 25 | import org.eclipse.emf.ecore.util.EcoreUtil; |
27 | import org.eclipse.viatra.dse.api.strategy.interfaces.IStrategy; | 26 | import org.eclipse.viatra.dse.api.strategy.interfaces.IStrategy; |
28 | import org.eclipse.viatra.dse.base.ThreadContext; | 27 | import org.eclipse.viatra.dse.base.ThreadContext; |
29 | import org.eclipse.viatra.dse.objectives.Fitness; | 28 | import org.eclipse.viatra.dse.objectives.Fitness; |
29 | import org.eclipse.viatra.dse.objectives.IObjective; | ||
30 | import org.eclipse.viatra.dse.objectives.ObjectiveComparatorHelper; | 30 | import org.eclipse.viatra.dse.objectives.ObjectiveComparatorHelper; |
31 | import org.eclipse.viatra.dse.solutionstore.SolutionStore; | 31 | import org.eclipse.viatra.dse.solutionstore.SolutionStore; |
32 | import org.eclipse.viatra.query.runtime.api.IPatternMatch; | 32 | import org.eclipse.viatra.query.runtime.api.IPatternMatch; |
@@ -34,8 +34,6 @@ import org.eclipse.viatra.query.runtime.api.IQuerySpecification; | |||
34 | import org.eclipse.viatra.query.runtime.api.ViatraQueryEngine; | 34 | import org.eclipse.viatra.query.runtime.api.ViatraQueryEngine; |
35 | import org.eclipse.viatra.query.runtime.api.ViatraQueryMatcher; | 35 | import org.eclipse.viatra.query.runtime.api.ViatraQueryMatcher; |
36 | 36 | ||
37 | import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.app.MetricDistanceGroup; | ||
38 | import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.app.PartialInterpretationMetric; | ||
39 | import hu.bme.mit.inf.dslreasoner.logic.model.builder.DocumentationLevel; | 37 | import hu.bme.mit.inf.dslreasoner.logic.model.builder.DocumentationLevel; |
40 | import hu.bme.mit.inf.dslreasoner.logic.model.builder.LogicReasoner; | 38 | import hu.bme.mit.inf.dslreasoner.logic.model.builder.LogicReasoner; |
41 | import hu.bme.mit.inf.dslreasoner.logic.model.logicproblem.LogicProblem; | 39 | import hu.bme.mit.inf.dslreasoner.logic.model.logicproblem.LogicProblem; |
@@ -115,7 +113,6 @@ public class BestFirstStrategyForModelGeneration implements IStrategy { | |||
115 | public void initStrategy(ThreadContext context) { | 113 | public void initStrategy(ThreadContext context) { |
116 | this.context = context; | 114 | this.context = context; |
117 | this.solutionStore = context.getGlobalContext().getSolutionStore(); | 115 | this.solutionStore = context.getGlobalContext().getSolutionStore(); |
118 | |||
119 | ViatraQueryEngine engine = context.getQueryEngine(); | 116 | ViatraQueryEngine engine = context.getQueryEngine(); |
120 | // // TODO: visualisation | 117 | // // TODO: visualisation |
121 | matchers = new LinkedList<ViatraQueryMatcher<? extends IPatternMatch>>(); | 118 | matchers = new LinkedList<ViatraQueryMatcher<? extends IPatternMatch>>(); |
@@ -191,11 +188,9 @@ public class BestFirstStrategyForModelGeneration implements IStrategy { | |||
191 | // continue mainLoop; | 188 | // continue mainLoop; |
192 | // } | 189 | // } |
193 | 190 | ||
194 | |||
195 | |||
196 | List<Object> activationIds = selectActivation(); | 191 | List<Object> activationIds = selectActivation(); |
197 | Iterator<Object> iterator = activationIds.iterator(); | 192 | Iterator<Object> iterator = activationIds.iterator(); |
198 | 193 | ||
199 | while (!isInterrupted && !configuration.progressMonitor.isCancelled() && iterator.hasNext()) { | 194 | while (!isInterrupted && !configuration.progressMonitor.isCancelled() && iterator.hasNext()) { |
200 | final Object nextActivation = iterator.next(); | 195 | final Object nextActivation = iterator.next(); |
201 | // if (!iterator.hasNext()) { | 196 | // if (!iterator.hasNext()) { |
@@ -204,6 +199,7 @@ public class BestFirstStrategyForModelGeneration implements IStrategy { | |||
204 | // } | 199 | // } |
205 | logger.debug("Executing new activation: " + nextActivation); | 200 | logger.debug("Executing new activation: " + nextActivation); |
206 | context.executeAcitvationId(nextActivation); | 201 | context.executeAcitvationId(nextActivation); |
202 | |||
207 | visualiseCurrentState(); | 203 | visualiseCurrentState(); |
208 | // for(ViatraQueryMatcher<? extends IPatternMatch> matcher : matchers) { | 204 | // for(ViatraQueryMatcher<? extends IPatternMatch> matcher : matchers) { |
209 | // System.out.println(matcher.getPatternName()); | 205 | // System.out.println(matcher.getPatternName()); |
@@ -214,16 +210,13 @@ public class BestFirstStrategyForModelGeneration implements IStrategy { | |||
214 | // System.out.println("---------"); | 210 | // System.out.println("---------"); |
215 | // } | 211 | // } |
216 | 212 | ||
217 | //calculate the metrics for each state | ||
218 | // logCurrentStateMetric(); | ||
219 | |||
220 | boolean consistencyCheckResult = checkConsistency(currentTrajectoryWithFittness); | 213 | boolean consistencyCheckResult = checkConsistency(currentTrajectoryWithFittness); |
221 | if(consistencyCheckResult == true) { continue mainLoop; } | 214 | if(consistencyCheckResult == true) { continue mainLoop; } |
222 | 215 | ||
223 | /* if (context.isCurrentStateAlreadyTraversed()) { | 216 | if (context.isCurrentStateAlreadyTraversed()) { |
224 | // logger.info("The new state is already visited."); | 217 | logger.info("The new state is already visited."); |
225 | // context.backtrack(); | 218 | context.backtrack(); |
226 | // } else*/ if (!context.checkGlobalConstraints()) { | 219 | } else if (!context.checkGlobalConstraints()) { |
227 | logger.debug("Global contraint is not satisifed."); | 220 | logger.debug("Global contraint is not satisifed."); |
228 | context.backtrack(); | 221 | context.backtrack(); |
229 | } else { | 222 | } else { |
@@ -256,6 +249,7 @@ public class BestFirstStrategyForModelGeneration implements IStrategy { | |||
256 | } | 249 | } |
257 | } | 250 | } |
258 | } | 251 | } |
252 | |||
259 | logger.debug("State is fully traversed."); | 253 | logger.debug("State is fully traversed."); |
260 | trajectoiresToExplore.remove(currentTrajectoryWithFittness); | 254 | trajectoiresToExplore.remove(currentTrajectoryWithFittness); |
261 | currentTrajectoryWithFittness = null; | 255 | currentTrajectoryWithFittness = null; |
@@ -316,16 +310,17 @@ public class BestFirstStrategyForModelGeneration implements IStrategy { | |||
316 | return trajectoiresToExplore.element(); | 310 | return trajectoiresToExplore.element(); |
317 | } | 311 | } |
318 | } | 312 | } |
319 | 313 | ||
320 | // private void logCurrentStateMetric() { | 314 | // private void logCurrentStateMetric() { |
321 | // if(this.configuration.documentationLevel != DocumentationLevel.NONE || workspace == null) { | 315 | // if(this.configuration.documentationLevel != DocumentationLevel.NONE || workspace == null) { |
322 | // return; | 316 | // return; |
323 | // } | ||
324 | // | ||
325 | // PartialInterpretation interpretation = (PartialInterpretation)context.getModel(); //pattern.get("interpretation"); | ||
326 | // PartialInterpretationMetric.calculateMetric(interpretation, "debug/metric/" + context.getModel().hashCode(), context.getCurrentStateId().toString()); | ||
327 | // } | 317 | // } |
318 | // | ||
319 | // PartialInterpretation interpretation = (PartialInterpretation)context.getModel(); //pattern.get("interpretation"); | ||
320 | // PartialInterpretationMetric.calculateMetric(interpretation, "debug/metric/" + context.getModel().hashCode(), context.getCurrentStateId().toString()); | ||
321 | //} | ||
328 | 322 | ||
323 | |||
329 | public void visualiseCurrentState() { | 324 | public void visualiseCurrentState() { |
330 | PartialInterpretationVisualiser partialInterpretatioVisualiser = configuration.debugCongiguration.partialInterpretatioVisualiser; | 325 | PartialInterpretationVisualiser partialInterpretatioVisualiser = configuration.debugCongiguration.partialInterpretatioVisualiser; |
331 | if(partialInterpretatioVisualiser != null && this.configuration.documentationLevel == DocumentationLevel.FULL && workspace != null) { | 326 | if(partialInterpretatioVisualiser != null && this.configuration.documentationLevel == DocumentationLevel.FULL && workspace != null) { |
diff --git a/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/dse/HillClimbingOnRealisticMetricStrategyForModelGeneration.java b/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/dse/HillClimbingOnRealisticMetricStrategyForModelGeneration.java index 6c13e760..9409ac48 100644 --- a/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/dse/HillClimbingOnRealisticMetricStrategyForModelGeneration.java +++ b/Solvers/VIATRA-Solver/hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner/src/hu/bme/mit/inf/dslreasoner/viatrasolver/reasoner/dse/HillClimbingOnRealisticMetricStrategyForModelGeneration.java | |||
@@ -25,7 +25,6 @@ import org.eclipse.viatra.query.runtime.api.ViatraQueryEngine; | |||
25 | import org.eclipse.viatra.query.runtime.api.ViatraQueryMatcher; | 25 | import org.eclipse.viatra.query.runtime.api.ViatraQueryMatcher; |
26 | 26 | ||
27 | import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.app.MetricDistanceGroup; | 27 | import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.app.MetricDistanceGroup; |
28 | import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.app.PartialInterpretationMetric; | ||
29 | import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.app.PartialInterpretationMetricDistance; | 28 | import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.app.PartialInterpretationMetricDistance; |
30 | import hu.bme.mit.inf.dslreasoner.logic.model.builder.DocumentationLevel; | 29 | import hu.bme.mit.inf.dslreasoner.logic.model.builder.DocumentationLevel; |
31 | import hu.bme.mit.inf.dslreasoner.logic.model.builder.LogicReasoner; | 30 | import hu.bme.mit.inf.dslreasoner.logic.model.builder.LogicReasoner; |
@@ -59,10 +58,14 @@ public class HillClimbingOnRealisticMetricStrategyForModelGeneration implements | |||
59 | private volatile boolean isInterrupted = false; | 58 | private volatile boolean isInterrupted = false; |
60 | private ModelResult modelResultByInternalSolver = null; | 59 | private ModelResult modelResultByInternalSolver = null; |
61 | private Random random = new Random(); | 60 | private Random random = new Random(); |
61 | |||
62 | // matchers for detecting the number of violations | ||
62 | private Collection<ViatraQueryMatcher<? extends IPatternMatch>> mustMatchers; | 63 | private Collection<ViatraQueryMatcher<? extends IPatternMatch>> mustMatchers; |
63 | private Collection<ViatraQueryMatcher<? extends IPatternMatch>> mayMatchers; | 64 | private Collection<ViatraQueryMatcher<? extends IPatternMatch>> mayMatchers; |
65 | // Encode the used activations of a particular state | ||
64 | private Map<Object, List<Object>> stateAndActivations; | 66 | private Map<Object, List<Object>> stateAndActivations; |
65 | private Map<TrajectoryWithFitness, Double> trajectoryFit; | 67 | private Map<TrajectoryWithFitness, Double> trajectoryFit; |
68 | |||
66 | // Statistics | 69 | // Statistics |
67 | private int numberOfStatecoderFail = 0; | 70 | private int numberOfStatecoderFail = 0; |
68 | private int numberOfPrintedModel = 0; | 71 | private int numberOfPrintedModel = 0; |
@@ -113,16 +116,14 @@ public class HillClimbingOnRealisticMetricStrategyForModelGeneration implements | |||
113 | this.solutionStoreWithCopy = new SolutionStoreWithCopy(); | 116 | this.solutionStoreWithCopy = new SolutionStoreWithCopy(); |
114 | this.solutionStoreWithDiversityDescriptor = new SolutionStoreWithDiversityDescriptor(configuration.diversityRequirement); | 117 | this.solutionStoreWithDiversityDescriptor = new SolutionStoreWithDiversityDescriptor(configuration.diversityRequirement); |
115 | 118 | ||
116 | //final ObjectiveComparatorHelper objectiveComparatorHelper = context.getObjectiveComparatorHelper(); | ||
117 | trajectoryFit = new HashMap<TrajectoryWithFitness, Double>(); | 119 | trajectoryFit = new HashMap<TrajectoryWithFitness, Double>(); |
118 | |||
119 | this.comparator = new Comparator<TrajectoryWithFitness>() { | 120 | this.comparator = new Comparator<TrajectoryWithFitness>() { |
120 | @Override | 121 | @Override |
121 | public int compare(TrajectoryWithFitness o1, TrajectoryWithFitness o2) { | 122 | public int compare(TrajectoryWithFitness o1, TrajectoryWithFitness o2) { |
122 | return Double.compare(trajectoryFit.get(o1), trajectoryFit.get(o2)); | 123 | return Double.compare(trajectoryFit.get(o1), trajectoryFit.get(o2)); |
123 | } | 124 | } |
124 | }; | 125 | }; |
125 | 126 | ||
126 | trajectoiresToExplore = new PriorityQueue<TrajectoryWithFitness>(11, comparator); | 127 | trajectoiresToExplore = new PriorityQueue<TrajectoryWithFitness>(11, comparator); |
127 | stateAndActivations = new HashMap<Object, List<Object>>(); | 128 | stateAndActivations = new HashMap<Object, List<Object>>(); |
128 | metricDistance = new PartialInterpretationMetricDistance(); | 129 | metricDistance = new PartialInterpretationMetricDistance(); |
@@ -140,7 +141,6 @@ public class HillClimbingOnRealisticMetricStrategyForModelGeneration implements | |||
140 | } | 141 | } |
141 | 142 | ||
142 | final Fitness firstFittness = context.calculateFitness(); | 143 | final Fitness firstFittness = context.calculateFitness(); |
143 | //checkForSolution(firstFittness); | ||
144 | 144 | ||
145 | final ObjectiveComparatorHelper objectiveComparatorHelper = context.getObjectiveComparatorHelper(); | 145 | final ObjectiveComparatorHelper objectiveComparatorHelper = context.getObjectiveComparatorHelper(); |
146 | final Object[] firstTrajectory = context.getTrajectory().toArray(new Object[0]); | 146 | final Object[] firstTrajectory = context.getTrajectory().toArray(new Object[0]); |
@@ -152,7 +152,8 @@ public class HillClimbingOnRealisticMetricStrategyForModelGeneration implements | |||
152 | //if(configuration) | 152 | //if(configuration) |
153 | visualiseCurrentState(); | 153 | visualiseCurrentState(); |
154 | 154 | ||
155 | //create matcher | 155 | // the two is the True and False node generated at the beginning of the generation |
156 | int targetSize = configuration.typeScopes.maxNewElements + 2; | ||
156 | int count = 0; | 157 | int count = 0; |
157 | mainLoop: while (!isInterrupted && !configuration.progressMonitor.isCancelled()) { | 158 | mainLoop: while (!isInterrupted && !configuration.progressMonitor.isCancelled()) { |
158 | 159 | ||
@@ -181,40 +182,38 @@ public class HillClimbingOnRealisticMetricStrategyForModelGeneration implements | |||
181 | Map<Object, Double> valueMap = new HashMap<Object,Double>(); | 182 | Map<Object, Double> valueMap = new HashMap<Object,Double>(); |
182 | 183 | ||
183 | //init epsilon and draw | 184 | //init epsilon and draw |
184 | double epsilon = 0; | ||
185 | double draw = 1; | ||
186 | MetricDistanceGroup heuristics = metricDistance.calculateMetricDistanceKS(model); | 185 | MetricDistanceGroup heuristics = metricDistance.calculateMetricDistanceKS(model); |
187 | 186 | ||
188 | if(!stateAndActivations.containsKey(context.getCurrentStateId())) { | 187 | if(!stateAndActivations.containsKey(context.getCurrentStateId())) { |
189 | stateAndActivations.put(context.getCurrentStateId(), new ArrayList<Object>()); | 188 | stateAndActivations.put(context.getCurrentStateId(), new ArrayList<Object>()); |
190 | } | 189 | } |
191 | 190 | ||
192 | //Output intermediate model | 191 | // calculate values for epsilon greedy |
193 | if(model.getNewElements().size() > 0) { | 192 | double epsilon = 1.0/count; |
194 | epsilon = 1.0/count; | 193 | double draw = Math.random(); |
195 | draw = Math.random(); | 194 | count++; |
196 | count++; | 195 | |
197 | // cut off the trajectory for bad graph | 196 | // output statistics |
198 | //System.out.println("KS"); | 197 | //System.out.println("KS"); |
199 | System.out.println("NA distance: " + heuristics.getNADistance()); | 198 | System.out.println("NA distance: " + heuristics.getNADistance()); |
200 | System.out.println("MPC distance: " + heuristics.getMPCDistance()); | 199 | System.out.println("MPC distance: " + heuristics.getMPCDistance()); |
201 | System.out.println("Out degree distance:" + heuristics.getOutDegreeDistance()); | 200 | System.out.println("Out degree distance:" + heuristics.getOutDegreeDistance()); |
202 | System.out.println("Exit :" + heuristics.getNodeTypePercentage("Exit")); | 201 | System.out.println("NodeType :" + heuristics.getNodeTypeDistance()); |
202 | System.out.println("Transition :" + heuristics.getNodeTypePercentage("Transition")); | ||
203 | System.out.println("FinalState :" + heuristics.getNodeTypePercentage("FinalState")); | ||
203 | 204 | ||
204 | // MetricDistanceGroup lsHeuristic = metricDistance.calculateMetricDistance(model); | 205 | // MetricDistanceGroup lsHeuristic = metricDistance.calculateMetricDistance(model); |
205 | // System.out.println("LS"); | 206 | // System.out.println("LS"); |
206 | // System.out.println("NA distance: " + lsHeuristic.getNADistance()); | 207 | // System.out.println("NA distance: " + lsHeuristic.getNADistance()); |
207 | // System.out.println("MPC distance: " + lsHeuristic.getMPCDistance()); | 208 | // System.out.println("MPC distance: " + lsHeuristic.getMPCDistance()); |
208 | // System.out.println("Out degree distance:" + lsHeuristic.getOutDegreeDistance()); | 209 | // System.out.println("Out degree distance:" + lsHeuristic.getOutDegreeDistance()); |
209 | 210 | ||
210 | //check for next value when doing greedy move | 211 | //TODO: the number of activations to be checked should be configurasble |
211 | 212 | if(activationIds.size() > 50) { | |
212 | if(activationIds.size() > 50) { | 213 | activationIds = activationIds.subList(0, 50); |
213 | activationIds = activationIds.subList(0, 50); | ||
214 | } | ||
215 | |||
216 | valueMap = sortWithWeight(activationIds, model.getNewElements().size()); | ||
217 | } | 214 | } |
215 | |||
216 | valueMap = sortWithWeight(activationIds, model.getNewElements().size()); | ||
218 | lastState = context.getCurrentStateId(); | 217 | lastState = context.getCurrentStateId(); |
219 | while (!isInterrupted && !configuration.progressMonitor.isCancelled() && activationIds.size() > 0) { | 218 | while (!isInterrupted && !configuration.progressMonitor.isCancelled() && activationIds.size() > 0) { |
220 | final Object nextActivation = drawWithEpsilonProbabilty(activationIds, valueMap, epsilon, draw); | 219 | final Object nextActivation = drawWithEpsilonProbabilty(activationIds, valueMap, epsilon, draw); |
@@ -224,62 +223,44 @@ public class HillClimbingOnRealisticMetricStrategyForModelGeneration implements | |||
224 | context.executeAcitvationId(nextActivation); | 223 | context.executeAcitvationId(nextActivation); |
225 | visualiseCurrentState(); | 224 | visualiseCurrentState(); |
226 | 225 | ||
227 | //calculate the metrics for each state | ||
228 | // logCurrentStateMetric(); | ||
229 | |||
230 | boolean consistencyCheckResult = checkConsistency(currentTrajectoryWithFittness); | 226 | boolean consistencyCheckResult = checkConsistency(currentTrajectoryWithFittness); |
231 | if(consistencyCheckResult == true) { continue mainLoop; } | 227 | if(consistencyCheckResult == true) { continue mainLoop; } |
232 | boolean shouldFinish = model.getNewElements().size() >= configuration.typeScopes.maxNewElements + 2; | ||
233 | 228 | ||
234 | /* if (context.isCurrentStateAlreadyTraversed()) { | 229 | int currentSize = model.getNewElements().size(); |
235 | // logger.info("The new state is already visited."); | 230 | int targetDiff = targetSize - currentSize; |
231 | boolean shouldFinish = targetDiff <= 0; | ||
232 | |||
233 | // does not allow must violations | ||
234 | // if((getNumberOfViolations(mustMatchers) > 0|| getNumberOfViolations(mayMatchers) > targetDiff) && !shouldFinish) { | ||
236 | // context.backtrack(); | 235 | // context.backtrack(); |
237 | // } else if (!context.checkGlobalConstraints()) { | 236 | // }else { |
238 | logger.debug("Global contraint is not satisifed."); | ||
239 | context.backtrack(); | ||
240 | } else*/// { | ||
241 | if(getNumberOfViolations(mustMatchers) > 0 && !shouldFinish) { | ||
242 | context.backtrack(); | ||
243 | }else if(model.getNewElements().size() > 90 && heuristics.getNADistance() + heuristics.getMPCDistance() + heuristics.getOutDegreeDistance() > 5.3) { | ||
244 | context.backtrack(); | ||
245 | }else if(model.getNewElements().size() > 70 && heuristics.getNADistance() + heuristics.getMPCDistance() + heuristics.getOutDegreeDistance() > 5.45) { | ||
246 | context.backtrack(); | ||
247 | } else if(model.getNewElements().size() > 50 && heuristics.getNADistance() + heuristics.getMPCDistance() + heuristics.getOutDegreeDistance() > 5.60) { | ||
248 | context.backtrack(); | ||
249 | } else if(model.getNewElements().size() > 30 && heuristics.getNADistance() + heuristics.getMPCDistance() + heuristics.getOutDegreeDistance() > 5.70) { | ||
250 | context.backtrack(); | ||
251 | }else { | ||
252 | final Fitness nextFitness = context.calculateFitness(); | 237 | final Fitness nextFitness = context.calculateFitness(); |
253 | 238 | ||
254 | // the only hard objectives are the size | 239 | // the only hard objectives are the size |
255 | |||
256 | if(shouldFinish) { | 240 | if(shouldFinish) { |
257 | System.out.println("Solution Found!!"); | 241 | System.out.println("Solution Found!!"); |
258 | System.out.println("# violations: " + (getNumberOfViolations(mustMatchers) + getNumberOfViolations(mayMatchers))); | 242 | System.out.println("# violations: " + (getNumberOfViolations(mustMatchers))); |
259 | nextFitness.setSatisifiesHardObjectives(true); | 243 | nextFitness.setSatisifiesHardObjectives(true); |
260 | } | 244 | } |
261 | |||
262 | checkForSolution(nextFitness); | 245 | checkForSolution(nextFitness); |
263 | 246 | ||
264 | |||
265 | |||
266 | if (context.getDepth() > configuration.searchSpaceConstraints.maxDepth) { | 247 | if (context.getDepth() > configuration.searchSpaceConstraints.maxDepth) { |
267 | logger.debug("Reached max depth."); | 248 | logger.debug("Reached max depth."); |
268 | context.backtrack(); | 249 | context.backtrack(); |
269 | continue; | 250 | continue; |
270 | } | 251 | } |
271 | |||
272 | 252 | ||
253 | //Record value for current trajectory | ||
273 | TrajectoryWithFitness nextTrajectoryWithFittness = new TrajectoryWithFitness( | 254 | TrajectoryWithFitness nextTrajectoryWithFittness = new TrajectoryWithFitness( |
274 | context.getTrajectory().toArray(), nextFitness); | 255 | context.getTrajectory().toArray(), nextFitness); |
275 | int step = nextTrajectoryWithFittness.trajectory.length; | 256 | int nodeSize = ((PartialInterpretation) context.getModel()).getNewElements().size(); |
276 | int violation = getNumberOfViolations(mustMatchers) + getNumberOfViolations(mayMatchers); | 257 | int violation = getNumberOfViolations(mayMatchers); |
277 | metricDistance.getLinearModel().feedData(context.getCurrentStateId(), metricDistance.calculateFeature(step, violation), calculateCurrentStateValue(step, violation), lastState); | 258 | metricDistance.getLinearModel().feedData(context.getCurrentStateId(), metricDistance.calculateFeature(nodeSize, violation), calculateCurrentStateValue(nodeSize, violation), lastState); |
278 | double value = calculateCurrentStateValue(step, violation); | 259 | double value = calculateCurrentStateValue(nodeSize, violation); |
279 | |||
280 | trajectoryFit.put(nextTrajectoryWithFittness, value); | 260 | trajectoryFit.put(nextTrajectoryWithFittness, value); |
281 | trajectoiresToExplore.add(nextTrajectoryWithFittness); | 261 | trajectoiresToExplore.add(nextTrajectoryWithFittness); |
282 | 262 | ||
263 | //Currently, just go to the next state without considering the value of trajectory | ||
283 | int compare = objectiveComparatorHelper.compare(currentTrajectoryWithFittness.fitness, | 264 | int compare = objectiveComparatorHelper.compare(currentTrajectoryWithFittness.fitness, |
284 | nextTrajectoryWithFittness.fitness); | 265 | nextTrajectoryWithFittness.fitness); |
285 | if (compare < 0) { | 266 | if (compare < 0) { |
@@ -301,10 +282,8 @@ public class HillClimbingOnRealisticMetricStrategyForModelGeneration implements | |||
301 | trajectoiresToExplore.remove(currentTrajectoryWithFittness); | 282 | trajectoiresToExplore.remove(currentTrajectoryWithFittness); |
302 | currentTrajectoryWithFittness = null; | 283 | currentTrajectoryWithFittness = null; |
303 | context.backtrack(); | 284 | context.backtrack(); |
304 | } | 285 | //} |
305 | // PartialInterpretation model = (PartialInterpretation) context.getModel(); | 286 | |
306 | // PartialInterpretationMetric.calculateMetric(model, "debug/metric/output", context.getCurrentStateId().toString(), count); | ||
307 | // count++; | ||
308 | logger.info("Interrupted."); | 287 | logger.info("Interrupted."); |
309 | } | 288 | } |
310 | 289 | ||
@@ -315,7 +294,8 @@ public class HillClimbingOnRealisticMetricStrategyForModelGeneration implements | |||
315 | */ | 294 | */ |
316 | private Map<Object, Double> sortWithWeight(List<Object> activationIds, int factor){ | 295 | private Map<Object, Double> sortWithWeight(List<Object> activationIds, int factor){ |
317 | Map<Object, Double> valueMap = new HashMap<Object, Double>(); | 296 | Map<Object, Double> valueMap = new HashMap<Object, Double>(); |
318 | // do hill climbing | 297 | |
298 | // check for next states | ||
319 | for(Object id : activationIds) { | 299 | for(Object id : activationIds) { |
320 | context.executeAcitvationId(id); | 300 | context.executeAcitvationId(id); |
321 | int violation = getNumberOfViolations(mayMatchers); | 301 | int violation = getNumberOfViolations(mayMatchers); |
@@ -323,6 +303,7 @@ public class HillClimbingOnRealisticMetricStrategyForModelGeneration implements | |||
323 | context.backtrack(); | 303 | context.backtrack(); |
324 | } | 304 | } |
325 | 305 | ||
306 | //remove all the elements having large distance | ||
326 | activationIds.removeIf(li -> valueMap.get(li) >= 10000); | 307 | activationIds.removeIf(li -> valueMap.get(li) >= 10000); |
327 | Collections.sort(activationIds, Comparator.comparing(li -> valueMap.get(li))); | 308 | Collections.sort(activationIds, Comparator.comparing(li -> valueMap.get(li))); |
328 | return valueMap; | 309 | return valueMap; |
@@ -346,12 +327,10 @@ public class HillClimbingOnRealisticMetricStrategyForModelGeneration implements | |||
346 | private double calculateCurrentStateValue(int factor, int violation) { | 327 | private double calculateCurrentStateValue(int factor, int violation) { |
347 | PartialInterpretation model = (PartialInterpretation) context.getModel(); | 328 | PartialInterpretation model = (PartialInterpretation) context.getModel(); |
348 | MetricDistanceGroup g = metricDistance.calculateMetricDistanceKS(model); | 329 | MetricDistanceGroup g = metricDistance.calculateMetricDistanceKS(model); |
349 | if(g.getNodeTypePercentage("Exit") > 0.0) { | 330 | |
350 | return 10000; | 331 | double consistenceWeights = 5 * factor / (configuration.typeScopes.maxNewElements + 2) * (1- 1.0/(1+violation)); |
351 | } | 332 | |
352 | double consistenceWeights = 1- 1.0/(1+violation); | 333 | return(100.0 *(g.getNodeTypeDistance()) + 5*(g.getNADistance() + g.getMPCDistance() +g.getOutDegreeDistance()) + consistenceWeights); |
353 | |||
354 | return( 5.0 *(g.getNADistance() + g.getMPCDistance() + g.getOutDegreeDistance()) + consistenceWeights); | ||
355 | } | 334 | } |
356 | 335 | ||
357 | private int getNumberOfViolations(Collection<ViatraQueryMatcher<? extends IPatternMatch>> matchers) { | 336 | private int getNumberOfViolations(Collection<ViatraQueryMatcher<? extends IPatternMatch>> matchers) { |