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Mostrando ítems 21-27 de 27
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
DCBA: Simulating Population Dynamics P Systems with Proportional Object Distribution
(Fénix Editora, 2012)
Population Dynamics P systems refer to a formal framework for ecological modelling. The semantics of the model associates probabilities to rules, but at the same time, the model is based on P systems, so the rules are ...
Artículo
VIGLA-M: visual gene expression data analytics
(BMC, 2019)
Background: The analysis of gene expression levels is used in many clinical studies to know how patients evolve or to find new genetic biomarkers that could help in clinical decision making. However, the techniques and ...
Artículo
A Decade of Ecological Membrane Computing Applications
(IMCS: International Membrane Computing Society, 2018)
A short summary of recent ecological modelling applications within mem- brane computing developed by the Research Group on Natural Computing (RGNC) is presented here. A timeline of models presented in the last 10 years ...
Ponencia
DisMatch results for OAEI 2016
(CEUR-WS.Org, 2016)
DisMatch is an experimental ontology matching system based on the use of corpus based distributional measure for approximating se- mantic relatedness. Through the use of a domain-related corpus, the measure can be applied ...
Ponencia
MeCoSim: A general purpose software tool for simulating biological phenomena by means of P Systems
(IEEE Computer Society, 2010)
In recent years, the increasing importance of the computational systems biology is leading to an impressive growth of the knowledge of several real-life phenomena. In this framework, membrane computing is an emergent ...
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 ...