Gradient Free Optimizers Versions Save

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

v1.4.0

4 days ago
  • add Grid search parameter that changes direction of search
  • add SMBO parameter that enables to avoid replacement of the sampling
  • fix bug in transition probability of stochastic-hill-climbing and simulated-annealing

v1.3.0

1 year ago

add support for constrained optimization

v1.2.0

1 year ago
  • add DIRECT algorithm
  • automatically add random initial positions if necessary (often requested)

v1.0.1

2 years ago

v1.0.1