Draft:Pymoo

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