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Mostrando ítems 1-10 de 28
Artículo
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: ...
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 ...
Artículo
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 ...
Artículo
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 ...
Artículo
Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios
(Hindawi, 2016)
In smart cities, the use of intelligent automatic techniques to find efficient cycle programs of traffic lights is becoming an innovative front for traffic flow management. However, this automatic programming of traffic ...
Artículo
Multi-objective ligand-protein docking with particle swarm optimizers
(Elsevier, 2019)
In the last years, particle swarm optimizers have emerged as prominent search methods to solve the molecular docking problem. A new approach to address this problem consists in a multi-objective formulation, minimizing the ...
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 ...
Artículo
Hybrid PSO6 for Hard Continuous Optimization
(Springer, 2015)
In our previous works, we empirically showed that a number of 6±2 informants may endow particle swarm optimization (PSO) with an optimized learning procedure in comparison with other combinations of informants. In this ...
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 ...
Artículo
Molecular Docking Optimization in the Context of Multi-Drug Resistant and Sensitive EGFR Mutants
(MDPI, 2016)
The human Epidermal Growth Factor (EGFR) plays an important role in signaling pathways, such as cell proliferation and migration. Mutations like G719S, L858R, T790M, G719S/T790M or T790M/L858R can alter its conformation, ...