3 #include "searchtuner.h"
8 AutoTuner::AutoTuner(uint _budget) :
12 void AutoTuner::addProblem(CSolver *solver) {
16 long long AutoTuner::evaluate(CSolver *problem, SearchTuner *tuner) {
17 CSolver *copy = problem->clone();
18 copy->setTuner(tuner);
19 int result = copy->solve();
20 long long elapsedTime = copy->getElapsedTime();
21 long long encodeTime = copy->getEncodeTime();
22 long long solveTime = copy->getSolveTime();
23 long long metric = elapsedTime;
24 model_print("Elapsed Time: %llu\n", elapsedTime);
25 model_print("Encode Time: %llu\n", encodeTime);
26 model_print("Solve Time: %llu\n", solveTime);
31 double AutoTuner::evaluateAll(SearchTuner *tuner) {
33 for (uint i = 0; i < solvers.getSize(); i++) {
34 CSolver *problem = solvers.get(i);
35 double score = evaluate(problem, tuner);
38 return pow(product, 1 / ((double)solvers.getSize()));
41 SearchTuner *AutoTuner::mutateTuner(SearchTuner *oldTuner, uint k) {
42 SearchTuner *newTuner = oldTuner->copyUsed();
43 uint numSettings = oldTuner->getSize();
44 double factor = 0.3;//Adjust this factor...
45 uint settingsToMutate = (uint)(factor * (((double)numSettings) * (budget - k)) / (budget));
46 if (settingsToMutate < 1)
48 model_print("Mutating %u settings\n", settingsToMutate);
49 while (settingsToMutate-- != 0) {
50 newTuner->randomMutate();
56 void AutoTuner::tune() {
57 SearchTuner *bestTuner = NULL;
58 double bestScore = DBL_MAX;
60 SearchTuner *oldTuner = new SearchTuner();
61 double base_temperature = evaluateAll(oldTuner);
62 double oldScore = base_temperature;
64 for (uint i = 0; i < budget; i++) {
65 SearchTuner *newTuner = mutateTuner(oldTuner, i);
66 double newScore = evaluateAll(newTuner);
67 newTuner->printUsed();
68 model_print("Received score %f\n", newScore);
69 double scoreDiff = newScore - oldScore; //smaller is better
70 if (newScore < bestScore) {
71 if (bestTuner != NULL)
74 bestTuner = newTuner->copyUsed();
81 double currTemp = base_temperature * (((double)budget - i) / budget);
82 acceptanceP = exp(-scoreDiff / currTemp);
84 double ran = ((double)random()) / RAND_MAX;
85 if (ran <= acceptanceP) {
93 model_print("Best tuner:\n");
95 model_print("Received score %f\n", bestScore);
96 if (bestTuner != NULL)