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2012 IEEE Congress on Evolutionary Computation, CEC 2012(1)
2016 IEEE Congress on Evolutionary Computation, CEC 2016(1)
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Analysis 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:scopusA 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 pbkp_rediction of α-amylase andPalabras 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: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: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:googlescopusLearning 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: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:scopusUna solución matemáticocomputacional al problema de asignación de docentes a unidades de aprendizaje
ArticleAbstract: In this paper, we discuss the problem of assigning teachers to the learning units. The approach takePalabras claves:Ants System, higher education, Optimization model, Resource allocation problemsAutores:Amilkar Puris, Cardenas-Cobo J., Pavel Novoa-Hernández, Yaima TrujilloFuentes:scopusVmode: A hybrid metaheuristic for the solution of large scale optimization problems
ArticleAbstract: Large scale continuous optimization problems have become increasingly common in real-world problems.Palabras claves:continuous optimization, Differential Evolution, Large Scale Global Optimization, Variable Mesh OptimizationAutores:Amilkar Puris, Bello R.R., Díaz López E.Fuentes:scopus