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Mostrando ítems 1-10 de 14
Artículo
A multi-objective interactive dynamic particle swarm optimizer
(Springer, 2020)
Multi-objective optimization deals with problems having two or more conflicting objectives that have to be optimized simulta-neously. When the objectives change somehow with time, the problems become dynamic, and if the ...
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
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 ...
Artículo
Optimal Cycle Program of Traffic Lights With Particle Swarm Optimization
(IEEE Computer Society, 2013)
Optimal staging of traffic lights, and in particular optimal light cycle programs, is a crucial task in present day cities with potential benefits in terms of energy consumption, traffic flow management, pedestrian ...
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
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 ...
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 ...