Tools for experimental design and multi-objective optimization
Project description
Opti
Opti is a Python package for specifying problems in a number of closely related fields, including experimental design, multiobjective optimization and decision making and Bayesion optimization.
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.
Install
pip install mopti
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