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| author | Todor Balabanov <todor.balabanov@gmail.com> | 2019-05-15 19:54:21 +0300 |
|---|---|---|
| committer | Tomaž Vajngerl <quikee@gmail.com> | 2019-06-03 15:53:30 +0200 |
| commit | 90ace7be71d41257e29a28fa2e7c0adf8f84050d (patch) | |
| tree | 2e7fee4022c5ae79c42f65a82f09f5630ae31b98 /nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox | |
| parent | tdf#67538 XTypeDetection::queryTypeByDescriptor poor performance, part3 (diff) | |
| download | core-90ace7be71d41257e29a28fa2e7c0adf8f84050d.tar.gz core-90ace7be71d41257e29a28fa2e7c0adf8f84050d.zip | |
Range for DE scaling factor was implemented.
Change-Id: I5b8d3cd69a6138d7eebf37c299626019b32d639a
Reviewed-on: https://gerrit.libreoffice.org/72373
Reviewed-by: Tomaž Vajngerl <quikee@gmail.com>
Tested-by: Tomaž Vajngerl <quikee@gmail.com>
Diffstat (limited to 'nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox')
| -rw-r--r-- | nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/deps/behavior/DEGTBehavior.java | 7 |
1 files changed, 5 insertions, 2 deletions
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/deps/behavior/DEGTBehavior.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/deps/behavior/DEGTBehavior.java index 645318341108..0e68f856d912 100644 --- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/deps/behavior/DEGTBehavior.java +++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/deps/behavior/DEGTBehavior.java @@ -41,7 +41,10 @@ public class DEGTBehavior extends AbsGTBehavior implements ILibEngine { private static final int DVNum = 2; //scale constant: (0, 1.2], normally be 0.5 - public double FACTOR = 0.5; + public double MIN_FACTOR = 0.5; + + //scale constant: (0, 1.2], normally be 0.5 + public double MAX_FACTOR = 0.5; //crossover constant: [0, 1], normally be 0.1 or 0.9 public double CR = 0.9; @@ -70,7 +73,7 @@ public class DEGTBehavior extends AbsGTBehavior implements ILibEngine { delta += (i % 2 == 0 ? +1D : -1D) * differenceVectors[i].getLocation()[index]; } - trialVector[index] = globalVector[index] + FACTOR * delta; + trialVector[index] = globalVector[index] + RandomGenerator.doubleRangeRandom(MIN_FACTOR, MAX_FACTOR) * delta; } @Override |