Buscar
Mostrando ítems 11-20 de 28
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Reducing Vehicle Emissions and Fuel Consumption in the City by Using Particle Swarm Optimization
(Springer, 2015)
Nowadays in current cities the increasing levels of pollution emissions and fuel consumption derived from the road traffic directly affect to the air quality, the economy, and specially the health of citizens. Therefore, ...
Ponencia
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Particle Swarm Optimization Aplicado a la Programación de los Ciclos de Semáforos en Bahía Blanca
(RedUNCI, 2012)
En este trabajo, proponemos el uso de un algoritmo de optimizaci ón mediante cúmulos de partículas (PSO, por las siglas en inglés), el cual, utilizando el simulador de tráfico SUMO para su entrenamiento, es capaz de ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms
(Elsevier, 2018)
Dynamic optimization problems involving two or more conflicting objectives appear in many real-world scenarios, and more cases are expected to appear in the near future with the increasing interest in the analysis ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
An ontology-based data integration approach for web analytics in e-commerce
(Elsevier, 2016)
Web analytics has emerged as one of the most important activities in e-commerce, since it allows com- panies and e-merchants to track the behavior of customers when visiting their web sites. There exist aseries of tools ...
Ponencia
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Why Six Informants Is Optimal in PSO
(ACM Digital Library, 2012)
In a previous work, it was empirically shown that certain numbers of informants different from the standard ”two” and the expensive ”all” may provide the Particle Swarm Optimization (PSO) with new essential information ...
Ponencia
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Automatic Parameter Tuning with Metaheuristics of the AODV Routing Protocol for Vehicular Ad-Hoc Networks
(Springer, 2010)
Communication protocol tuning can yield significant gains in energy efficiency, resource requirements, and the overall network performance, all of which is of particular importance in vehicular ad-hoc networks (VANETs). ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Sensitivity and specificity based multiobjective approach for feature selection: Application to cancer diagnosis
(Elsevier, 2009)
The study of the sensitivity and the specificity of a classification test constitute a powerful kind of analysis since it provides specialists with very detailed information useful for cancer diagnosis. In this work, we ...
Capítulo de Libro
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
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
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
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
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Hybrid DE-SVM Approach for Feature Selection: Application to Gene Expression Datasets
(IEEE Computer Society, 2009)
The efficient selection of predictive and accurate gene subsets for cell-type classification is nowadays a crucial problem in Microarray data analysis. The application and combination of dedicated computational intelligence ...