Particle swarm optimization
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PARTICLE SWARM OPTIMIZATION PARA EL AJUSTE DE MODELOS PROBABILISTICOS A DATOS DEL VIENTO EN VALPARAÍSO
... meta-heur´ıstica Particle Swarm Optimization para el ajuste de los par´ametros de las distribuciones mencionadas a los datos del viento de la comuna de ...
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An´alisis de medidas no-supervisadas de calidad en clusters obtenidos por K-means y Particle Swarm Optimization
... Particle Swarm Optimization (PSO) es una t´ecnica de computaci´on evolutiva desarrollada por Kennedy y Eberhart en 1995 [4], inspirada en el comportamiento social del vuelo de las bandadas, ...
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Demodulation of Interferograms based on Particle Swarm Optimization
... Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in [20] and ...each particle moves in the search space with a ...
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CALIBRATION OF SEMI ANALYTIC MODELS OF GALAXY FORMATION USING PARTICLE SWARM OPTIMIZATION
... called Particle Swarm Optimization ( PSO ) , a self-learning algorithm for localizing regions of maximum likelihood in multidimensional spaces that outperforms traditional sampling methods in terms ...
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Multicast routing and wavelength assignment in optical networks with particle swarm optimization
... Abstract. Large bandwidth on hand in WDM networks is the best choice for increasing traffic demand; although, routing and wavelength assignment (RWA) problems still remain a challenge. This work proposes a novel method ...
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Particle swarm optimization para problemas de secuenciamiento: total weighted tardiness
... Particle Swarm Optimization (PSO) ha sido utilizado exitosamente en diferentes áreas como optimización mutidimensional y multiobjetivo, y entrenamiento de redes neuronales entre otras, pero existen ...
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Una comparativa del algoritmo particle swarm optimization con restricciones entre los métodos de factor de constricción y neighborhood con coeficiente bde inercia dinámico
... algoritmo Particle Swarm Optimization (PSO) fue propuesto por Kennedy y Eberhart [1] inspirado en la simulación del comportamiento social de bandada de ...
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The Optimal combination: Grammatical Swarm, Particle Swarm Optimization and Neural Networks.
... Particle swarm optimization (PSO) is a fairly recent population based stochastic optimization technique introduced by Kennedy and Eberhart ...A particle is an element of the popu- ...
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Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
... and swarm intelligent algorithm (Bermeo et ...a particle swarm optimization (PSO), and the PSD was assumed to be represented only by an exponentially modified Gaussian (EMG) ...
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Polynomial approximation using particle swarm optimization of lineal enhanced neural networks with no hidden layers.
... and Particle Swarm Optimization, see figures 9 and 10, are both stochastic optimization ...- Particle Swarm Optimization (DE- PSO), is also ...
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Aplicación del Algoritmo Particle Swarm Optimization al Problema de Optimización de Colocación de Convertidores de Longitud de Onda en Redes WRON con Diferentes Tipos de Enrutamiento-Edición Única
... el particle swarm optimization (PSO), un algoritmo de búsqueda para resolver problemas de optimización, aplicado a la resolución del wavelength converters placement ...
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Particle swarm optimization para un problema de optimización combinatoria
... El algoritmo propuesto es validado usando instancias tomadas de la OR-Library y los resultados son comparados con los obtenidos por un algoritmo evolutivo multirecombinado que incluye conocimiento acerca del problema y ...
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Constricted Particle Swarm Optimization based Algorithm for Global Optimization
... Abstract—Particle Swarm Optimization (PSO) is a bioinspired meta-heuristic for solving complex global optimization ...the particle swarm frequently gets attracted by suboptimal ...
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Aplicación del Algoritmo Particle Swarm Optimization al Problema de Optimización de Colocación de Convertidores de Longitud de Onda en Redes WRON con Diferentes Tipos de Enrutamiento Edición Única
... el particle swarm optimization (PSO), un algoritmo de búsqueda para resolver problemas de optimización, aplicado a la resolución del wavelength converters placement ...
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Particle Swarm Optimization and Uncertainty Assessment in Inverse Problems
... Abstract: Most inverse problems in the industry (and particularly in geophysical exploration) are highly underdetermined because the number of model parameters too high to achieve accurate data predictions and because ...
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Automatic placement of electronic components to maximize heat dissipation on PCB's using particle swarm optimization
... This thesis documents my personal research as candidate for the academic degree of Master of Science in Intelligent Systems. The purpose of this work is to optimize the electronic components layout in a printed circuit ...
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Optimization of the hydrolysis of lignocellulosic residues by using radial basis functions modeling and particle swarm optimization
... [11] Giordano PC, Martínez HD, Iglesias AA, Beccaria AJ, Goicoechea HC. Application of response surface methodology and artificial neural networks for optimization of recombinant Oryza sativa non-symbiotic ...
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Particle swarm optimization aplicado a la programación de los ciclos de semáforos en Bahía Blanca
... En este trabajo presentamos un algoritmo PSO (Particle Swarm Optimiza- tion) [11] como optimizador de programas de ciclos de sem´aforos. Para la evalu- aci´on de los programas de ciclos generados ...
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Differential Evoluiton - Particle Swarm Optimization
... new particle should be created according to formulas (d) for the velocity and (e) for the new ...created particle is proven to be better, it should be replaced by the old one for the next ...best ...
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MINIMIZING FUEL CONSUMPTION IN ORBIT TRANSFERS USING UNIVERSAL VARIABLE AND PARTICLE SWARM OPTIMIZATION
... Minimizing fuel consumption in space travels is becoming increasingly impor- tant for spatial development. In the present paper, the fuel consumption in orbit transfers (without gravitational assistance) is minimized, ...
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