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2012 IEEE Congress on Evolutionary Computation, CEC 2012(1)
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A two QSAR way for antidiabetic agents targeting using α-amylase and α-glucosidase inhibitors: Model parameters settings in artificial intelligence techniques
ArticleAbstract: This work showed the use of 0-2D Dragon molecular descriptors in the prediction of α-amylase and α-gPalabras claves:classification model, dragon descriptor, Machine learning, QSAR., α-amylase, α-GlucosidaseAutores:Amilkar Puris, Gerardo M. Casañola-Martin, Hai P.T., Karel Diéguez-Santana, Rivera-Borroto O.M., Thu H.L.T.Fuentes:scopusAnalysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP
ArticleAbstract: Ant Colony Optimization (ACO) is a bioinspired metaheuristic based on ants foraging used to solve diPalabras claves:Ant colony optimization, Assignation quadratic problem, traveling salesman problem, Two-Stage strategyAutores:Amilkar Puris, Bello R.R., Herrera F.Fuentes:scopusImproving ant colony optimization to solve the travelling salesman problem
Conference ObjectAbstract: In this paper we propose an improvement of Ant Colony Optimization to solve the Travelling SalesmanPalabras claves:Autores:Amilkar Puris, Bello R.R., Martínez Y., Nowé A.Fuentes:scopusImpacto de la auto-adaptación en ambientes dinámicos con frecuencia de cambio variable
ArticleAbstract: Several decision scenarios can be modeled as dynamic optimization problems (DOPs), which have been tPalabras claves:Differential Evolution, Evolutionary Dynamic Optimization, Self-adaptation, Variable change frequencyAutores:Amilkar Puris, Bryon Wladimir Oviedo Bayas, Byron Oviedo, Corona C.C., Jorge Murillo-Oviedo, Moisés Menace, Pavel Novoa-HernándezFuentes:googlescopusRecommender Systems and Scratch: An Integrated Approach for Enhancing Computer Programming Learning
ArticleAbstract: Learning computer programming is a challenging process. Among the current approaches for overcomingPalabras claves:programming learning., recommender systems, Scratch, visual programming languagesAutores:Amilkar Puris, Benavides D., Cardenas-Cobo J., Galindo J.A., Pavel Novoa-HernándezFuentes:scopusLearning Bayesian network by a mesh of points
Conference ObjectAbstract: In this work we applied Variable Mesh Optimization population metaheuristc (VMO) for Bayesian networPalabras claves:Autores:Amilkar Puris, Bryon Wladimir Oviedo Bayas, Luis Moreira, Moral S., Pavel Novoa-HernándezFuentes:scopusOptimising real parameters using the information of a mesh of solutions: VMO algorithm
Conference ObjectAbstract: Population-based Meta-heuristics are algorithms that can obtain very good results for complex continPalabras claves:continuous optimisation, meta-heuristics, population meta-heuristics, variable mesh optimisationAutores:Amilkar Puris, Bello R.R., Herrera F., Molina D.Fuentes:scopusThe performance of some meta-heuristics in continuous problems studied according to the location of the optima in the search space
ArticleAbstract: Many hard optimization problems can only be effectively handled by meta-heuristic methods. Some contPalabras claves:continuous optimization, meta-heuristic, Search space boundsAutores:Amilkar Puris, Bello R.R., Navarro R.Fuentes:scopusTwo step Swarm intelligence to solve the feature selection problem
ArticleAbstract: In this paper we propose a new approach to Swarm Intelligence called Two-Step Swarm Intelligence. ThPalabras claves:Ant colony optimization, Feature selection problem, Particle Swarm Optimization, Rough set theory, Swarm intelligence, Two-Step swarm intelligenceAutores:Amilkar Puris, Bello R.R., García M.M., Gómez Y., Nowé A.Fuentes:scopusTwo-stage ant colony optimization for solving the traveling salesman problem
Conference ObjectAbstract: In this paper, a multilevel approach of Ant Colony Optimization to solve the Traveling Salesman ProbPalabras claves:Autores:Amilkar Puris, Bello R.R., Martínez Y., Nowé A.Fuentes:scopus