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Releases: jbussemaker/SBArchOpt

1.5.3

30 Oct 13:10
3bd3889
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  • Fix some tests
  • Update paper references
  • Move turbofan problem data out of the repository/package

1.5.2

20 Jun 06:47
08915b3
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  • Also update cumulative pop when not storing results
  • Added logo
  • Constrain numpy to 1.x for now

1.5.1

08 May 13:45
51594a6
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  • Add SEGOMOE ask-tell interface and pymoo Algorithm
  • Updated to pymoo 0.6.1

1.5.0

22 Mar 07:17
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  • Update to Trieste 2.0
  • Add OSS license checks for dependencies
  • Updated SEGOMOE integration

1.4.0

30 Jan 12:08
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  • Improved hierarchical sampling by randomizing group selection
  • Display population statistics (non-failed, feasible, optimal points)
  • Do not use problem-specific correction by default
  • Fixed bug with problems needing correction of continuous variables and using an auto corrector
  • Added correction ratio metric to problem statistics
  • Fixed bug with ArchSBO running on a problem with an explicit design space
  • Added interface to the Egor optimizer (#11)
  • Switch to random forest classifier as default hidden constraint strategy for ArchSBO

Test problems:

  • Added bi-objective version of the realistic turbofan test problem
  • Added surrogate model version of the simple turbofan test problem
  • Added multi-stage rocket design problem
  • Added mixed-discrete versions of the GNC problem

1.3.0

23 Nov 15:41
086a08b
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Updates:

  • Implemented problem-agnostic corrector algorithms to use if all_discrete_x is available
  • Switched to LHS as fallback sampler
  • Bug fixes

ArchSBO-specific updates:

  • Updated default settings for hidden constraint strategies: support KPLS and auto-scale random forest
  • Updated default infill selection: only use ensembles
  • Added gradient-based infill optimization after the evolutionary optimization
  • Updated to SMT 2.2
  • Do not force cont relax kernel for PLS for SMT>=2.2
  • Added more logging

v1.2.0

05 Sep 11:27
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  • Fixed instantiation of continuously-relaxed mixed-discrete Kriging models when using PLS
  • Support categorical hierarchical design variables for Kriging models (SMT)
  • Support changing DOE size after the fact for doe_algo
  • More open interface for storing/loading (intermediate) results; including support for non file-based operations

v1.1.5

24 Jul 09:47
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  • Bug fix: ImportError when not all optional dependencies are installed
  • Added support for random seed (sampling, pymoo interface, ArchSBO, HEBO, BoTorch/Ax, Trieste)

v1.1.4

08 Jul 19:26
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v1.1.3

05 Jul 14:53
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  • Added hidden constraint strategies to ArchSBO
  • Support creating KPLS surrogates in ArchSBO
  • Added constraints elimination strategy in ArchSBO
  • Added evaluation results to the turbofan test problems
  • Fixed various bugs