Latest Version: pymoo==


Our framework is from the community to the community of multi-objective optimization. We would be more than glad if some collaborations and contributions would be happening shortly.

Some topics that are, in our opinion, interesting to incorporate in the future:

  • New features: For instance, new test problems, algorithms, or any other multi-objective related implementation.

  • Termination Criteria: We have implemented rudimentary ‘x_tol’ and ‘f_tol’ termination criteria. However, a study needs to be made if those are suitable for test and real-world problems. Also, what default parameter settings are suitable.

  • Constraint Handling: So far, mostly parameter-less constraint handling is used. Many different strategies of handling constraints have been studied, and some state of the art methods should be provided in pymoo as well.

  • Interactive Visualization: Our framework provides static visualization for the objective space in higher dimensions. However, it would be nice to make it possible to explore solutions interactively. A suitable choice would be a web-based application with a javascript/typescript based interface using pymoo to answer requests necessary for plotting or optimization

  • Other Topics: Those are topics that came to our mind. However, there are many more things related to multi-objective optimization that are interesting and standard implementation in a framework would be useful!

If you are interested in any of those topics, please let us know.