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Now showing items 1-10 of 10
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
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 ...
Article
Reducing Vehicle Emissions and Fuel Consumption in the City by Using Particle Swarm Optimization
(Springer, 2015)
Nowadays in current cities the increasing levels of pollution emissions and fuel consumption derived from the road traffic directly affect to the air quality, the economy, and specially the health of citizens. Therefore, ...
Article
Sensitivity and specificity based multiobjective approach for feature selection: Application to cancer diagnosis
(Elsevier, 2009)
The study of the sensitivity and the specificity of a classification test constitute a powerful kind of analysis since it provides specialists with very detailed information useful for cancer diagnosis. In this work, we ...
Article
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. ...
Article
Parallel multi-swarm optimizer for gene selection in DNA microarrays
(Springer, 2012)
The execution of many computational steps per time unit typical of parallel computers offers an important benefit in reducing the computing time in real world applications. In this work, a parallel Particle Swarm ...
Article
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 ...