r4.4.1

• Release 4.4.1
  • fmin2 accepts a constraints function as constraints keyword argument
  • an improved CMAEvolutionStrategyResult2 class which also contains the best feasible solution
  • a reset_options method which also clears the current termination status
  • polish the output of .optimize() and of .result_pretty()
  • catch final .stop() value displayed with cma.plot

r4.4.0

Release 4.4.0

• constraints handling is available also in the ask-and-tell interface (addressing issues #258, #287, and #167)
• ask can ignore_integer_variables to not mutate integer variables
• an on/off switch for integer centering, cma.integer_centering.centering_on (by default True)
• polishing and minor bug fixes
• code internal:
  • move integer rounding code (applied to delivered solutions) to the cma.transformations.RoundIntegerVariables class
  • utils.SolutionDict can behave like a queue too

r4.3.0

Released to PyPI:

• integer variables of candidate solutions are rounded (addressing also issue
  #286)
• moved main docstring from fmin to fmin2
• experimental plots for error estimates and sensitivities
• fix numpy scalar type representations at various places
• replace ineffective use_archives flag with archive_sent_solutions
  and archive_after_sent

r4.0.0

• majorly improved mixed-integer handling based on a more concise lower bound of variances and on so-called integer centering
• moved options and parameters code into a new file
• many small-ish fixes and improvements

r3.4.0

see https://github.com/CMA-ES/pycma?tab=readme-ov-file#version-history

r3.3.0

Diagonal decoding, fmin functions with surrogate and more.

r3.2.2

Smallish fixes and improvements and a constraints use case notebook.

r3.2.1

• fixes plot of principal axes which were shown squared by mistake

r3.2.0

• constraints handling via a dynamic unconstrained function instantiated from cma.ConstrainedFitnessAL.
• many small improvements and fixes

r3.1.0

• fix return value of fmin_con and make it more usable, added attribute best_feasible
• polish evolution_strategy.py
• fix a few smallish bugs