mopti 0.10.10

Tools for experimental design and multi-objective optimization

Opti

Opti is a Python package for specifying problems in a number of closely related fields, including experimental design, multiobjective optimization, decision making and Bayesian optimization.

Docs: https://basf.github.io/mopti/
Code: https://github.com/basf/mopti

Why opti?

Opti ...

• supports mixed continuous, discrete and categorical parameter spaces for system inputs and outputs,
• separates objectives (minimize, maximize, close-to-target) from the outputs on which they operate,
• supports different specific and generic constraints as well as black-box output constraints,
• provides sampling methods for constrained mixed variable spaces,
• json-serializes problems for use in RESTful APIs and json/bson DBs, and
• provides a range of benchmark problems for (multi-objective) optimization and Bayesian optimization.

Note: We are developing a successor of opti called BoFire.