Draft:Pymoo

Pymoo
Developer(s)	J.Blank and K.Deb
Stable release	0.6.1 / 11 July 2022; 23 months ago
Operating system	Cross-platform
Type	Numerical library
License	Apache license 2.0
Website	pymoo.org

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Last edited by SunDawn (talk | contribs) 5 months ago. (Update)

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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/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 swarp 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