A parallel global multiobjective framework for optimization: pagmo
Francesco Biscani, Dario Izzo
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.
Topics & Concepts
Multi-objective optimizationComputer scienceMathematical optimizationMathematicsAdvanced Multi-Objective Optimization AlgorithmsEvolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research