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Article
Solving molecular flexible docking problems with metaheuristics: A comparative study
(Elsevier, 2015)
The main objective of the molecular docking problem is to find a conformation between a small molecule (ligand) and a receptor molecule with minimum binding energy. The quality of the docking score depends on two factors: ...
Article
BIGOWL: Knowledge centered Big Data analytics
(Elsevier, 2019)
Knowledge extraction and incorporation is currently considered to be beneficial for efficient Big Data an- alytics. Knowledge can take part in workflow design, constraint definition, parameter selection and con- figuration, ...
Presentation
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 ...
Article
Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives
(Elsevier, 2019)
Molecular docking is a Bioinformatics method based on predicting the position and orientation of a small molecule or ligand when it is bound to a target macromolecule. This method can be modeled as an optimization problem ...
Article
An Ontology-Based Framework for Publishing and Exploiting Linked Open Data: A Use Case on Water Resources Management
(MDPI, 2020)
Nowadays, the increasing demand of water for electricity production, agricultural and industrial uses are directly affecting the reduction of available quality water for human consumption in the world. Efficient and ...
Article
Solving Molecular Docking Problems with Multi-Objective Metaheuristics
(MDPI, 2015)
Molecular docking is a hard optimization problem that has been tackled in the past with metaheuristics, demonstrating new and challenging results when looking for one objective: the minimum binding energy. However, only a ...
Article
Intelligent OLSR Routing Protocol Optimization for VANETs
(IEEE Computer Society, 2012)
Recent advances in wireless technologies have given rise to the emergence of vehicular ad hoc networks (VANETs). In such networks, the limited coverage ofWiFi and the high mobility of the nodes generate frequent topology ...
Presentation
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 ...
Presentation
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 ...
Presentation
Algoritmos Basados en Cúmulos de Partículas para el Análisis de Microarrays de ADN
([Los editores], 2007)