Buscar
Mostrando ítems 1-2 de 2
Ponencia
Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study
(Springer, 2016)
Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems. Our tool combines ...
Ponencia
A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy
(Springer, 2016)
Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding energy in the active site of the receptor. Molecular docking problems are traditionally tackled with ...