https://github.com/altaris/noisy-moo - v5.1.0

New implementations: * Accumulative resampling strategies [^fieldsend], see nmoo.algorithms.ar_nsga2.ARNSGA2; * Gaussian process spectral sampling method described in [^tsemo], see nmoo.denoisers.gpss.GPSS.

[^fieldsend]: Fieldsend, J.E. (2015). Elite Accumulative Sampling Strategies for Noisy Multi-objective Optimisation. In: Gaspar-Cunha, A., Henggeler Antunes, C., Coello, C. (eds) Evolutionary Multi-Criterion Optimization. EMO 2015. Lecture Notes in Computer Science(), vol 9019. Springer, Cham. https://doi.org/10.1007/978-3-319-15892-1_12

[^tsemo]: Bradford, E., Schweidtmann, A.M. & Lapkin, A. Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm. J Glob Optim 71, 407–438 (2018). https://doi.org/10.1007/s10898-018-0609-2

- Python
Published by altaris over 3 years ago

https://github.com/altaris/noisy-moo - v5.0.0

Full Changelog: https://github.com/altaris/noisy-moo/blob/main/CHANGELOG.md#v500

- Python
Published by altaris almost 4 years ago