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Artículo
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 ...
Artículo
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, ...
Ponencia
Particle Swarm Optimization Aplicado a la Programación de los Ciclos de Semáforos en Bahía Blanca
(RedUNCI, 2012)
En este trabajo, proponemos el uso de un algoritmo de optimizaci ón mediante cúmulos de partículas (PSO, por las siglas en inglés), el cual, utilizando el simulador de tráfico SUMO para su entrenamiento, es capaz de ...
Ponencia
Why Six Informants Is Optimal in PSO
(ACM Digital Library, 2012)
In a previous work, it was empirically shown that certain numbers of informants different from the standard ”two” and the expensive ”all” may provide the Particle Swarm Optimization (PSO) with new essential information ...
Ponencia
Enhancing the Urban Road Traffic with Swarm Intelligence: A Case Study of Córdoba City Downtown
(IEEE Computer Society, 2011)
In current modern cities, the increasing number of traffic lights that control the vehicular traffic flow requires a highly complex scheduling. Thousands of red lights, that have to be optimally programmed, are nowadays ...
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 ...
Ponencia
Artificial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods
(Springer, 2018)
Over the years, many interactive multiobjective optimization methods based on a reference point have been proposed. With a reference point, the decision maker indicates desirable objective function values to iteratively ...
Ponencia
Empirical computation of the quasi-optimal number of informants in particle swarm optimization
(ACM Digital Library, 2011)
In the standard particle swarm optimization (PSO), a new particle’s position is generated using two main informant elements: the best position the particle has found so far and the best performer among its neighbors. ...