Pymoo
From EverybodyWiki Bios & Wiki
| Developer(s) | J.Blank and K.Deb |
|---|---|
| Stable release | 0.6.1
/ 11 July 2022 |
| Engine | |
| Operating system | Cross-platform |
| Type | Numerical library |
| License | Apache license 2.0 |
| Website | pymoo |
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Pymoo is an open-source single- and multi-objective optimization Python library, focusing on metaheuristic derivative-free algorithms. The library is developed starting from 2019 with roughly one or two years between releases and has more than 600 citations in scientific papers (as of 2024).
The following single-objective optimization algorithms are implemented:
- Pattern search
- Nelder-Mead
- Differential evolution
- Genetic algorithms
- Particle swarm optimization
The following multi-objective optimization algorithms are implemented:
- NSGA-II, R-NSGA-II
- NSGA-III, R-NSGA-III, U-NSGA-III
- MOEA and other evolutionary algorithms
This article "Pymoo" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Pymoo. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
