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Mostrando ítems 1-7 de 7
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 ...
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
Learning-based NMPC on SoC platforms for real-time applications using parallel Lipschitz interpolation
(Elsevier / International Federation of Automatic Control (IFAC), 2023-07)
One of the main problems associated with advanced control strategies is their implementation on embedded and industrial platforms, especially when the target application requires real-time operation. Frequently, the dynamics ...
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 ...