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CUMDANCAUChY-C1: A cellular EDA designed to solve the energy resource management problem under uncertainty
Conference ObjectAbstract: One step in the way to sustainable cities and society is the massive growth of electric vehicles andPalabras claves:cellular estimation distribution algorithms, Evolutionary computation, smart grids, uncertain environmentsAutores:Mayedo M.B., Morgado B., Moya A., Quintana J.M., Rodríguez-González A.Y., Yoan Martínez LópezFuentes:scopusCellular estimation Gaussian algorithm for continuous domain
ArticleAbstract: Optimization algorithms are important in problems of pattern recognition and artificial intelligencePalabras claves:Cellular EDA, GAUSSIAN networks, Learning, Probabilistic graph modelAutores:Quintana J.M., Rodríguez-González A.Y., Stephen Jones Barigye, Yoan Martínez LópezFuentes:scopusCellular estimation bayesian algorithm for discrete optimization problems
ArticleAbstract: In this paper, a new Cellular Estimation Bayesian Algorithm for discrete optimization problems is prPalabras claves:Bayesian networks, Cellular EDAs, evolutionary algorithm, LearningAutores:Mahdi G.S.S., Quintana J.M., Rodríguez-González A.Y., Yoan Martínez LópezFuentes:scopusCellular estimation of distribution algorithm designed to solve the energy resource management problem under uncertainty
ArticleAbstract: The Energy Resource Management (ERM) can be modeled as a Mixed-Integer Non-Linear Problem whose aimPalabras claves:Energy resource management, Estimation of distribution algorithm, evolutionary algorithm, smart Grid, UNCERTAINTYAutores:Bethencourt Mayedo M., Lezama F., Quintana J.M., Rodríguez-González A.Y., Yoan Martínez LópezFuentes:scopusApplying ring cellular encode-decode UMDA to risk-based energy scheduling
Conference ObjectAbstract: One of the challenges to making cities and human settlements inclusive, safe, resilient, and sustainPalabras claves:cellular estimation distribution algorithms, Evolutionary computation, smart grids, uncertain environmentsAutores:Álvarez-Carmona M., Aranda R., Quintana J.M., Rodríguez-González A.Y., Yoan Martínez LópezFuentes:scopusApplying some EDAs and hybrid variants to the ERM problem under uncertainty
Conference ObjectAbstract: The Energy Resource Management (ERM) under uncertainty of a smartgrid is a highly complex problem (aPalabras claves:cellular estimation distribution algorithms, Evolutionary computation, Hybrid techniques, smart grids, uncertain environmentsAutores:Mayedo M.B., Moya A., Quintana J.M., Rodríguez-González A.Y., Santiago O.M., Yoan Martínez LópezFuentes:scopusDiscrete derivatives for atom-pairs as a novel graph-theoretical invariant for generating new molecular descriptors: Orthogonality, interpretation and QSARs/QSPRs on benchmark databases
ArticleAbstract: This report presents a new mathematical method based on the concept of the derivative of a molecularPalabras claves:DIVATI, Event, Frequency matrix, Generalized incidence matrix, Genetic Algorithm, invariant, Molecular descriptors, QSPR, Sub-graph, ToMoCoMD-CARDDAutores:Millán-Cabrera R., Oscar Martínez Santiago, Pérez-Giménez F., Stephen Jones Barigye, Torrens F., Yoan Martínez López, Yovani Marrero-PonceFuentes:scopusHigher-order and mixed discrete derivatives such as a novel graph-theoretical invariant for generating new molecular descriptors
ArticleAbstract: Background: Recently, some authors have defined new molecular descriptors (MDs) based on the use ofPalabras claves:Corticosteroid binding globulin, Derivative of molecular graph, Discrete derivative, Frequency hypermatrix, Graph Theory, Higher order of discrete derivative, Mixed discrete derivative, Molecular fragmentations, QSAR, steroidsAutores:César H. Zambrano, Fernando Javier Torres, Hurtado-Rodríguez E., Oscar Martínez Santiago, Pham-The H., Ugarriza M.E.O., Vivas-Reyes R., Yoan Martínez López, Yovani Marrero-PonceFuentes:googlescopusExploring proteasome inhibition using atomic weighted vector indices and machine learning approaches
ArticleAbstract: Ubiquitin–proteasome system (UPS) is a highly regulated mechanism of intracellular protein degradatiPalabras claves:AWV, deep learning, Descriptor, GA, ML, UpsAutores:Garit J., Gerardo M. Casañola-Martin, Oscar Martínez Santiago, Rasulev B., Rodríguez-González A.Y., Stephen Jones Barigye, Yoan Martínez LópezFuentes:scopusExploring the QSAR’s predictive truthfulness of the novel N-tuple discrete derivative indices on benchmark datasets
ArticleAbstract: Graph derivative indices (GDIs) have recently been defined over N-atoms (N = 2, 3 and 4) simultaneouPalabras claves:CARDD suite, DIVATI module, feature selection, free and open source software, genetic algorithm, Friedman test for multiple comparisons, graph derivative indices, Keysfinder framework, Molecular descriptors, multiple linear regression, QSAR model, TOMOCOMD systemAutores:Hurtado E., Orozco-Ugarriza M.E., Oscar Martínez Santiago, Ramos Y., Rivera-Borroto O.M., Treto-Suarez M.A., Vergara-Murillo F., Vivas-Reyes R., Yoan Martínez López, Yovani Marrero-PonceFuentes:scopus