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Mostrando ítems 1-7 de 7
Ponencia
Automatic Configuration of NSGA-II with jMetal and irace
(ACM Digital Library, 2019)
jMetal is a Java-based framework for multi-objective optimization with metaheuristics providing, among other features, a wide set of algorithms that are representative of the state-of-the-art. Although it has become a ...
Ponencia
Multi-Objective Particle Swarm Optimizers: An Experimental Comparison
(Springer, 2009)
Particle Swarm Optimization (PSO) has received increasing attention in the optimization research community since its first appearance in the mid-1990s. Regarding multi-objective optimization, a considerable number of ...
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 ...
Ponencia
Multi-Objective Big Data Optimization with jMetal and Spark
(Springer, 2017)
Big Data Optimization is the term used to refer to optimiza- tion problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster ...
Ponencia
Artificial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods
(Springer, 2018)
Over the years, many interactive multiobjective optimization methods based on a reference point have been proposed. With a reference point, the decision maker indicates desirable objective function values to iteratively ...
Ponencia
About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework
(Springer, 2018)
Multi-objective optimization with metaheuristics is an active and popular research field which is supported by the availability of software frameworks providing algorithms, benchmark problems, quality indicators and ...