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Dr. Roman Anselmo Mora-Gutiérrez
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16Years (2011-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications3 January 2012 in Artificial Intelligence Review
Journal Article
RMRoman Anselmo Mora-Gutiérrez
Roman Anselmo Mora-GutiérrezJRJavier Ramírez-Rodríguez
Javier Ramírez-RodríguezEREric Alfredo Rincón-García
Eric Alfredo Rincón-García7 July 2020 in IEEE Access
Journal Article
EMEdwin Montes-Orozco
Edwin Montes-OrozcoRMRoman Anselmo Mora-Gutiérrez
Roman Anselmo Mora-GutiérrezSDSergio-Gerardo De-Los-Cobos-Silva
Sergio-Gerardo De-Los-Cobos-SilvaEREric-Alfredo Rincon-Garcia
Eric-Alfredo Rincon-GarciaGTGilberto-Sinuhe Torres-Cockrell
Gilberto-Sinuhe Torres-CockrellMGMiguel-Angel Gutierrez-Andrade
Miguel-Angel Gutierrez-Andrade +3
In this work, we present a methodology to identify COVID-19 spreaders using the analysis of the relationship between socio-cultural and economic characteristics with the number of infections and deaths caused by the COVID-19 virus in different countries. For this, we analyze the information of each country using the complex networks approach, specifically by analyzing the spreaders countries based on the separator set in 5-layer multiplex networks. The results show that, we obtain a classification of the countries based on their numerical values in socioeconomics, population, Gross Domestic Product (GDP), health and air connections; where, in the spreader set there are those countries that have high, medium or low values in the different characteristics; however, the aspect that all the countries belonging to the separator set share is a high value in air connections.
1 January 2022 in Complexity
Journal Article
EMEdwin Montes-Orozco
Edwin Montes-OrozcoRMRoman Anselmo Mora-Gutiérrez
Roman Anselmo Mora-GutiérrezSDSergio-Gerardo De-Los-Cobos-Silva
Sergio-Gerardo De-Los-Cobos-SilvaEREric A. Rincón-García
Eric A. Rincón-García
MGMiguel A. Gutiérrez-Andrade
Miguel A. Gutiérrez-AndradePLPedro Lara-Velázquez
Pedro Lara-VelázquezThis work analyzes and characterizes the spread of the COVID‐19 disease in Mexico, using complex networks and optimization approaches. Specifically, we present two methodologies based on the principle of the rupture for the GC and Newton's law of motion to quantify the robustness and identify the Mexican municipalities whose population causes a fast spread of the SARS‐CoV‐2 virus. Specifically, the first methodology is based on several characteristics of the original version of the Vertex Separator Problem (VSP), and the second is based on a new mathematical model (NLM). By solving VSP, we can find nodes that cause the rupture of the giant component (GC). On the other hand, solving the NLM can find more influential nodes for the entire system’s development. Specifically, we present an analysis using a coupled social network model with information about the main characteristics of the contagion and deaths caused by COVID‐19 in Mexico for 19 months (January 2020–July 2021). This work aims to show through the approach of complex networks how the spread of the disease behaves, and, thus, researchers from other areas can delve into the characteristics that cause this behavior.
15 August 2012 in Computing
Journal Article
RMRoman Anselmo Mora-Gutiérrez
Roman Anselmo Mora-GutiérrezJRJavier Ramírez-Rodríguez
Javier Ramírez-RodríguezEREric Alfredo Rincón-García
Eric Alfredo Rincón-GarcíaAPAntonin Ponsich
Antonin Ponsich
Oscar Herrera-Alcántara1 June 2013 in Journal of Applied Research and Technology
Journal Article
ERE.A. Rincón-García
E.A. Rincón-García
MGM.A. Gutiérrez-Andrade
M.A. Gutiérrez-Andrade
SDS.G. De-Los-Cobos-Silva
S.G. De-Los-Cobos-Silva
PLP. Lara-Velázquez
P. Lara-VelázquezAPA.S. Ponsich
A.S. Ponsich
RMRoman Anselmo Mora-Gutiérrez
Roman Anselmo Mora-GutiérrezRedistricting is the redrawing of the boundaries of legislative districts for electoral purposes in such a way that the generated districts fulfill federal and state requirements such as contiguity, population equality and compactness. In this paper we solve the problem by means of a single objective and a multiobjective simulated annealing algorithm. These algorithms were applied in two real examples in Mexico. The results show that the performance of the multiobjective approach is better, leading to higher quality zones
2 July 2018
Conference Paper
MRMiguel A. Fernández Romero
Miguel A. Fernández Romero
EGEric A. Rincón García
Eric A. Rincón García
APAntonin Ponsich
Antonin Ponsich
RMRoman Anselmo Mora-Gutiérrez
Roman Anselmo Mora-GutiérrezAbout Me
Dr. Román Anselmo Mora Gutiérrez is a distinguished academic and researcher in the field of systems engineering and optimization.
He holds a degree in Industrial Forestry Engineering from the Universidad Autónoma Chapingo (UACh) and a Master's and Ph.D. in Engineering with a specialization in Operations Research Systems.
Currently, he serves as a Professor and Researcher in the Department of Systems at the Universidad Autónoma Metropolitana, Azcapotzalco (UAM-A). His academic work focuses on areas such as information visualization, the design of metaheuristics, and the modeling of social systems.
One of his most notable contributions is the development of the "Musical Composition Method" (MMC), a metaheuristic inspired by social creativity systems related to musical composition. This method has been successfully applied to solving complex optimization problems, demonstrating significant performance improvements compared to existing techniques.
Dr. Mora Gutiérrez has published numerous articles in specialized journals and has participated in international conferences, establishing himself as an authority in his field. His work not only advances academic knowledge but also provides innovative solutions to practical problems in various disciplines.