Skip to content

Releases: aimclub/iOpt

v0.5.0

20 Dec 08:48
8540f9d
Compare
Choose a tag to compare

We're making a new release with a number of improvements.
Here is the list of the main changes:

  • Add support for solving multi-criteria optimization problems
  • Add a tool for displaying the Pareto set
  • Add an examples of multi-criteria problems
  • Update documentation

v0.4.0

26 Mar 20:34
7678b5f
Compare
Choose a tag to compare

We're making a new release with a number of improvements.
Here is the list of the main changes:

  • Correct the output of the optimal solution in problems with constraints
  • Improve save progress
  • Fix test for asynchronous parallel circuit
  • Implement asynchronous parallel scheme
  • Add grid search
  • Fix a bug in the calculator destructor

v0.3.0

20 Nov 16:24
17d4e58
Compare
Choose a tag to compare

We're making a new release with a number of improvements.
Here is the list of the main changes:

  • Improve the description of the algorithms.
  • Fix a bug with running a local method for tasks with partially discrete parameters.
  • Add several problems with partially discrete parameters and constraints.
  • Develop a benchmark for conducting comparative experiments on the iOpt, HyperOpt, Optuna frameworks.

v0.2.2

07 Aug 07:43
71f68e8
Compare
Choose a tag to compare

We're making a new minor release with a number of improvements.
Here is the list of the main changes:

  • The naming of the framework elements has been brought into line with the PEP8 rules.
  • Now the completion of the search process according to the specified timeout works correctly on the first iteration.
  • The creation of process pool has been changed. The new method allows using function pointers in the problem statement.
  • Fix the minor bug at the first iteration when solving mixed integer problems.

v0.2.1

02 Jul 14:38
59daec7
Compare
Choose a tag to compare

This week we released a new major version of iOpt - 0.2.1.
Here is the list of the main changes:

  • Discrete (categorical) parameters are now supported.
  • Now it is possible to save the current state of the optimization process, load and continue the calculation using the saved data.
  • Now it is possible to set the starting point from which the optimization process starts.
  • The ability to solve problems with a criterion that is computable not in the entire search domain was added.
  • Stop condition through time limit is now supported.
  • Major improvements in the visualization module were implemented.