A parallel global multiobjective framework for optimization: pagmo 论文

摘要

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.