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September 13, 2020The Journal of Open Source Software308 citationsOpen Access

A parallel global multiobjective framework for optimization: pagmo

FBFrancesco BiscaniDIDario Izzo

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Abstract

Mathematical optimization is pervasive in all quantitative sciences. The ability to find good parameters values in a generic numerical experiment while meeting complex constraints is of great importance and, as such, has always been an active research topic of mathematics, numerics and, more recently, artificial intelligence.

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Biscani et al. (2020) studied this question.

synapsesocial.com/papers/6a0452063ec91c15297e794ehttps://doi.org/10.21105/joss.02338
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