Buscar
Mostrando ítems 1-7 de 7
Ponencia
Multi-Objective Particle Swarm Optimizers: An Experimental Comparison
(Springer, 2009)
Particle Swarm Optimization (PSO) has received increasing attention in the optimization research community since its first appearance in the mid-1990s. Regarding multi-objective optimization, a considerable number of ...
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 ...
Ponencia
Metaheurísticas para Smart Mobility: Reducción de Emisiones y Consumo de Carburantes en el Tráfico Urbano
(Asociación Española para la Inteligencia Artificial, 2013)
Hoy en día, la mejora del tráfico vehicular supone una labor ineludible en nuestras ciudades a la hora de mitigar problemas como la excesiva emisión de gases contaminantes y el consumo no sostenible de carburantes. El ...
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. ...