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Mostrando ítems 1-10 de 33
Ponencia
Particle Swarm Hybridized with Differential Evolution: Black-Box Optimization Benchmarking for Noisy Functions
(ACM Digital Library, 2009)
In this work we evaluate a Particle Swarm Optimizer hy- bridized with Di®erential Evolution and apply it to the Black- Box Optimization Benchmarking for noisy functions (BBOB 2009). We have performed the complete procedure ...
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
SMPSO: A new PSO-based metaheuristic for multi-objective optimization
(IEEE Computer Society, 2009)
In this work, we present a new multi-objective particle swarm optimization algorithm (PSO) characterized by the use of a strategy to limit the velocity of the particles. The proposed approach, called Speed-constrained ...
Ponencia
Algoritmos Basados en Cúmulos de Partículas para el Análisis de Microarrays de ADN
([Los editores], 2007)
Ponencia
Using Metaheuristic Algorithms Remotely via ROS
(ACM Digital Library, 2007)
Ponencia
ROS: Servicio de Optimización Remota
(SISTEDES: Ingeniería de Software y las Tecnologías de Desarrollo de Software, 2006)
En este artículo se describe ROS, un Servicio de Optimización Remota. ROS permite a sus usuarios tener acceso a un conjunto de algoritmos modernos de optimizaci ón, situados en repositorios con recursos hardware y software ...
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
Noiseless Functions Black-Box Optimization: Evaluation of a Hybrid Particle Swarm with Differential Operators
(ACM Digital Library, 2009)
In this work we evaluate a Particle Swarm Optimizer hy- bridized with Di®erential Evolution and apply it to the Black- Box Optimization Benchmarking for noiseless functions (BBOB 2009). We have performed the complete ...
Ponencia
Algoritmo Evolutivo Multi-Objetivo para la Toma de Decisiones Interactiva en Optimización Dinámica
(Asociación Española para la Inteligencia Artificial, 2018)
Debido al creciente interés en el análisis de datos en streaming en entornos Big Data para la toma de decisiones, cada vez es más común la aparición de problemas de optimización dinámica que involucran dos o más objetivos ...
Ponencia
Gene Selection in Cancer Classification using PSO/SVM and GA/SVM Hybrid Algorithms
(IEEE Computer Society, 2007)
In this work we compare the use of a Particle Swarm Optimization (PSO) and a Genetic Algorithm (GA) (both augmented with Support Vector Machines SVM) for the classification of high dimensional Microarray Data. ...