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Mostrando ítems 21-28 de 28
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. ...
Ponencia
Docking Inter/Intra-Molecular Mediante Metaheurísticas Multi-objetivo
(MAEB, 2015)
El Acoplamiento Molecular (Molecular Docking) es un problema de optimización de gran complejidad que consiste en predecir la orientación de dos moléculas: el ligando y el receptor, de manera que formen un complejo molecular ...
Ponencia
A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy
(Springer, 2016)
Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding energy in the active site of the receptor. Molecular docking problems are traditionally tackled with ...
Artículo
A Fine Grain Sentiment Analysis with Semantics in Tweets
(Universidad Internacional de La Rioja (UNIR), 2016)
Social networking is nowadays a major source of new information in the world. Microblogging sites like Twitter have millions of active users (320 million active users on Twitter on the 30th September 2015) who share ...
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 ...
Ponencia
Estudio de Estrategias de Archivo en PSO Multi-Objetivo para el Docking Molecular
(Ediciones Universidad de Salamanca, 2016)
El acoplamiento molecular es un problema de optimización complejo cuyo objetivo es la predicción de la posición de un ligando en el sitio activo de un receptor con la mínima energía de unión. Este problema puede ser ...
Artículo
Restart particle swarm optimization with velocity modulation: a scalability test
(Springer, 2011)
Large scale continuous optimization problems are more relevant in current benchmarks since they are more representative of real-world problems (bioinformatics, data mining, etc.). Unfortunately, the performance of most of ...
Artículo
Inference of gene regulatory networks with multi-objective cellular genetic algorithm
(Elsevier, 2019)
Reverse engineering of biochemical networks remains an important open challenge in computational systems biology. The goal of model inference is to, based on time-series gene expression data, obtain the sparse ...