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A multiagent system for job-shop scheduling
Conference ObjectAbstract: The present work details the design and implementation of a multiagent system devoted to the dynamicPalabras claves:Agent system, AOSE, JSSP, PASSI, Planning & schedulingAutores:Cubillos C., Espinoza L., Nibaldo RodríguezFuentes:scopusA study on genetic algorithms for the DARP problem
Conference ObjectAbstract: This work presents the results on applying a genetic approach for solving the Dial-A-Ride Problem (DPalabras claves:Autores:Crawford B., Cubillos C., Nibaldo RodríguezFuentes:scopusCollaborative particle swarm optimization with a data mining technique for manufacturing cell design
ArticleAbstract: In recent years, different metaheuristic methods have been used to solve clustering problems. This pPalabras claves:Machine grouping, Manufacturing cells, Particle Swarm OptimizationAutores:Consalter L.A., Durán O., Nibaldo RodríguezFuentes:scopusCombining multi-scalewavelet entropy and kernelized classification for bearing multi-fault diagnosis
ArticleAbstract: Discriminative feature extraction and rolling element bearing failure diagnostics are very importantPalabras claves:Kernel Extreme Learning Machine, Multi-scale entropy, Stationary Wavelet TransformAutores:Alvarez P., Cabrera-Guerrero G., Lida Barba, Nibaldo RodríguezFuentes:googlescopusHybrid approach to crew pairing optimization
Conference ObjectAbstract: In order to be able to solve any combinatorial optimization problem It seems that a good idea is toPalabras claves:Autores:Castro C., Crawford B., Monfroy E., Nibaldo RodríguezFuentes:scopusHybrid models based on singular values and autoregressive methods for multistep ahead forecasting of traffic accidents
ArticleAbstract: The traffic accidents occurrence urges the intervention of researchers and society; the human lossesPalabras claves:Autores:Lida Barba, Nibaldo RodríguezFuentes:googlescopusForecast of traffic accidents based on components extraction and an autoregressive neural network with levenberg-marquardt
Conference ObjectAbstract: In this paper is proposed an improved one-step-ahead strategy for traffic accidents and injured forePalabras claves:Autoregressive Neural Network, Levenberg-Marquardt, SINGULAR VALUE DECOMPOSITIONAutores:Lida Barba, Nibaldo RodríguezFuentes:googlescopusImproved forecasting of CO<inf>2</inf> emissions based on an ANN and multiresolution decomposition
Conference ObjectAbstract: The sustainability of the environment is a shared goal of the United Nations. In this context, the fPalabras claves:Artificial Neural Network, Carbon dioxide, forecasting, Multiresolution decomposition, Stationary Wavelet TransformAutores:Lida Barba, Nibaldo RodríguezFuentes:googlescopusMonthly tuna catches forecasting using multiscale additive autoregression
Conference ObjectAbstract: In this paper, a forecasting strategy based on an additive autoregressive model combined with multisPalabras claves:forecasting, regression, Wavelet abalysisAutores:Durán O., Nibaldo RodríguezFuentes:scopusMulti-resolution SVD, Linear Regression, and Extreme Learning Machine for Traffic Accidents Forecasting with Climatic Variable
Conference ObjectAbstract: The purpose of this work is to forecast variables related to traffic accidents in Ecuador since 2015Palabras claves:Extreme learning machine, forecasting, linear regression, Multiresolution singular value decomposition, traffic accidentsAutores:Ana Elizabeth Congacha, Lady Espinoza, Lida Barba, Nibaldo RodríguezFuentes:googlescopus