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Pruning Optimum-Path Forest Classifiers Using Multi-Objective Optimization
(2017 30th Sibgrapi Conference On Graphics, Patterns And Images (sibgrapi), 2017-01-01) [Trabalho apresentado em evento]
Multi-objective optimization plays an important role when one has fitness functions that are somehow conflicting with each other. Also, parameter-dependent machine learning techniques can benefit from such optimization ...
An Analysis of the Branch-and-Bound Method in Solving the Reactive Optimal Power Flow Problem
(Proceedings Of The 2017 Ieee Xxiv International Conference On Electronics, Electrical Engineering And Computing (intercon), 2017-01-01) [Trabalho apresentado em evento]
The purpose of an Optimal Power Flow (OPF) problem is to determine the state of an electric power transmission system that optimizes a given system performance and satisfies its physical and operational constraints. The ...