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Capítulo de Libro
On the Velocity Update in Multi-Objective Particle Swarm Optimizers
(Springer, 2010)
Since its appearance, Particle Swarm Optimization (PSO) has become a very popular technique for solving optimization problems because of both its simplicity and its fast convergence properties. In the last few years there ...
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 ...
Artículo
A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems
(IEEE Computer Society, 2010)
To evaluate the search capabilities of a multiobjective algorithm, the usual approach is to choose a benchmark of known problems, to perform a fixed number of function evaluations, and to apply a set of quality indicators. ...
Artículo
Multiple Sequence Alignment with Multiobjective Metaheuristics. A Comparative Study
(Wiley, 2017)
Multiple sequence alignment (MSA) plays a core role in most bioinformatics studies and provides a framework for the analysis of evolution in biological systems. The MSA problem consists in finding an optimal alignment ...