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pagmo

Scientific library for massively parallel optimization algorithms

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Scientific library for massively parallel optimization

Commands

pagmo

Examples

Import pagmo in Python to solve optimization problems with multiple algorithms$ python3 -c "import pagmo; print(pagmo.__version__)"

Create and solve a simple optimization problem using pagmo's UDP interface

$ python3 -c "import pagmo as pg; prob = pg.problem(pg.sphere(10)); algo = pg.algorithm(pg.de()); pop = pg.population(prob, 20); pop = algo.evolve(pop); print(pop.champion_f)"

Use pagmo for multi-objective optimization with a built-in test problem

$ python3 -c "import pagmo as pg; prob = pg.problem(pg.dtlz()); algo = pg.algorithm(pg.nsga2()); pop = pg.population(prob, 50); pop = algo.evolve(pop)"