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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
2012 IEEE Congress on Evolutionary Computation, CEC 2012(1)
2013 IEEE Congress on Evolutionary Computation, CEC 2013(1)
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Blockchain: A means of security, cost reduction and error identification for Ecuadorian organizations
ArticleAbstract: The purpose of this study was to analyze the efficiency of Blockchain as a security measure, cost rePalabras claves:Architecture, ARQUITECTURA, blockchain technology, costs reduction, Ecuadorian organizations, means of security, medio de seguridad, organizaciones ecuatorianas, Reduccion De Costos, TECNOLOGÍA BLOCKCHAINAutores:Amilkar Puris, Anthony Jahir L.C., Bryon Wladimir Oviedo Bayas, Zhuma Mera RodrigoFuentes: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:scopusAco con una estrategia de exploración en dos etapas para el problema de cubrimiento de conjuntos
ArticleAbstract: Optimization based on Ant Colony two stages (TS-ac), it represents a way to improve exploration straPalabras claves:Ant Colony-based optimization, Covering sets, Divide and conquer strategyAutores:Amilkar Puris, Bryon Wladimir Oviedo Bayas, Harold Escobar, Janeth Mora-Secaira, Jorge Guanín, Jorge P. Murillo, Yaima TrujilloFuentes:scopusFeature selection through Dynamic Mesh Optimization
Conference ObjectAbstract: This paper introduces the Dynamic Mesh Optimization meta-heuristic, which falls under the evolutionaPalabras claves:Evolutionary computation, feature selection, meta-heuristicAutores:Amilkar Puris, Bello R.R., Falcón R., Gómez Y.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:googlescopusQSAR models for tyrosinase inhibitory activity description applying modern statistical classification techniques: A comparative study
ArticleAbstract: Cluster analysis (CA), Linear and Quadratic Discriminant Analysis (L(Q)DA), Binary Logistic RegressiPalabras claves:Atom-based quadratic indices, Modern statistical methods, Multiple Comparison Procedures, ROC curve, ToMoCoMD-CARDD software, Tyrosinase inhibitorAutores:Abad C., Amilkar Puris, Cardoso G.C., Gerardo M. Casañola-Martin, Rescigno A., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopusRecommending exercises in scratch: An integrated approach for enhancing the learning of computer programming
Conference ObjectAbstract: In this chapter we focused on how to improve the learning of computer programming in college studentPalabras claves:Autores:Amilkar Puris, Benavides D., Cárdenas-Cobo J., Pavel Novoa-HernándezFuentes:scopusRobust optimization over time: A review of most relevant contributions
ArticleAbstract: Robust optimization over time (ROOT) is a relatively recent topic in the field of dynamic evolutionaPalabras claves:Dynamic evolutionary optimization, meta-heuristics, Robust optimization over timeAutores:Amilkar Puris, Pavel Novoa-HernándezFuentes:scopusMETA HEURÍSTICA BASADA EN COLONIA DE HORMIGAS EN N ETAPAS PARA PROBLEMAS DE ALTA DIMENSIÓN.
ArticleAbstract: Ant Colony Optimization is a population metaheuristic inspired by the behavior of natural ants, specPalabras claves:Ant Colony System (ACS), Travel Salesman Problem (TSP)., Two-Stage Ant Colony Optimization (TS-ACO)Autores:Amilkar Puris, Hernández D., Hurtado S., Pavel Novoa-Hernández, Pérez H.Fuentes:scopus