Xopt v1.2.0

This release includes two new generators:

• mggpo: a better version of MGGPO https://arxiv.org/abs/1907.00250 which selects points generated by a GA to optimize the function based on hypervolume improvement, not based on pareto optimality.
• extremum_seeking: Extremum Seeking based onA. Scheinker, E. -C. Huang and C. Taylor doi: 10.1109/TCST.2021.3136133

as well as many bug fixes.

What's Changed

• Benchmarking improvements + rosenbrock exploration/optimization examples by @roussel-ryan in #62
• add EI acq, add max_travel_distances to BO options by @roussel-ryan in #63
• remove itertuples and add more tests by @ChristopherMayes in #64
• refactor data handling by @roussel-ryan in #65
• remove mutable options objects from generators by @roussel-ryan in #68
• Use mpicommexecutor by @ChristopherMayes in #67
• add xopt overview to docs by @roussel-ryan in #70
• Custom gp models by @roussel-ryan in #71
• Custom gp models (example) by @roussel-ryan in #72
• fixes small bug in examples where we call submit_data instead of eval… by @roussel-ryan in #73
• Bump pydantic version by @nikitakuklev in #74
• bugfixes by @roussel-ryan in #75
• Mggpo by @roussel-ryan in #69
• Add extremum seeking generator based on Alex's python implementation by @wenatuhs in #76

New Contributors

• @nikitakuklev made their first contribution in #74
• @wenatuhs made their first contribution in #76

Full Changelog: v1.1.2...v1.2.0