omads - OMADS-2408

What's new!

• New multiobjective optimization (MOO), Pareto study, is now enabled in the search, poll, and MADS solvers
• New constrained and unconstrained MO test functions and examples are added
• New postprocessing mechanism is enabled that allows live update of results in the output files during optimization
• Dependencies are updated to use the recent version of samplersLib

Constrained MO Pareto studies solved using MADS

Unconstrained MO Pareto studies solved using MADS

- Python
Published by Ahmed-Bayoumy almost 2 years ago

omads - OMADS-2407.0

• Add a base class for the mesh
• Add and enable a new class object 'Gmesh' that adapts the mesh granularity and anisotropy
• Improve code modularity
• Relax the version of some dependencies

- Python
Published by Ahmed-Bayoumy almost 2 years ago

omads - Patch release 2404.2

• Fix a display issue
• Relax the version requirement of some dependent libraries
• Minor edits

- Python
Published by Ahmed-Bayoumy almost 2 years ago

omads - Patch release 2404.1

• Compatible with Python 3.11
• Fix minor issues related to the dataclass package upgrade
• Upgrade the versions of some dependent libraries

- Python
Published by Ahmed-Bayoumy about 2 years ago

omads - OMADS-2401

New Features

• Significant improvement on solving high-dimensional problems
• Significant Improvement on dealing with narrow feasible regions using extreme, progressive and hybrid barriers
• Inclusion of the samplersLib new library in the search step that has a new active online samplers based on estimated non-parametric distributions
• Dealing with ordinal discrete and categorical parameters
• Results postprocessing and informative output logging
• Modular organized source code

- Python
Published by Ahmed-Bayoumy over 2 years ago

omads - OMADS-2.1.0

In this release two new modules have been added; SEARCH and MADS. The following new features has been added too: * New variable types are now supported; integer, discrete and categorical * New search types added in the search step * Sampling: LHC, RS and Halton * VNS * Improve constraints handling by using the progressive barrier and the augmented Lagrangian multipliers

- Python
Published by Ahmed-Bayoumy almost 3 years ago

omads - OMADS-1.5.0

In this release, the following new features have been provided:

• Parallel multiprocessing for the points evaluation in the poll.
• New execution command options
• User constant parameters
• Technical and code documentation
• GitHub page for the documentation

- Python
Published by Ahmed-Bayoumy over 3 years ago