
Release 4.4.3 Addressing issue 231, failures in corner cases with large population size, by increasing the step-size damping of CSA and TPA. This seems also to improve the performance on bbob-f24 in 10 and 20-D while worsening the performance on bbob-f23 in 10 and 40-D. Provide option 'TPA_dampfac' analogous to 'CSA_dampfac'. Plots now show the current best solution and the distribution mean in two subplots. New: Provide the two (by far) most useful statistical tests with a tidy interface in cma.utilities.math.test... Provide a more_algorithms sub-package containing purecma and CompactGA. Provide a provisional experimentation module (requires import cma.experimentation). A few smaller fixes and improvements. Full Changelog: https://github.com/CMA-ES/pycma/compare/r4.4.2...r4.4.3
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 85 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
