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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, ...
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
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 ...
Article
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 ...
Article
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 ...
Article
Swarm intelligence for traffic light scheduling: Application to real urban areas
(Elsevier, 2012)
Congestion, pollution, security, parking, noise, and many other problems derived from vehicular traffic are present every day in most cities around the world. The growing number of traffic lights that control the vehicular ...
Article
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 ...
Article
Automatic tuning of communication protocols for vehicular ad hoc networks using metaheuristics
(Elsevier, 2010)
The emerging field of vehicular ad hoc networks (VANETs) deals with a set of communicating vehicles which are able to spontaneously interconnect without any pre-existing infrastructure. In such kind of networks, it is ...