Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Miguel Angel Rodriguez Cabal"'
Autor:
Luis Fernando Grisales Noreña, Oscar Daniel Garzón Rivera, Jauder Alexander Ocampo Toro, Carlos Andres Ramos Paja, Miguel Angel Rodriguez Cabal
Publikováno v:
TESEA, Transactions on Energy Systems and Engineering Applications, Vol 1, Iss 1 (2020)
In this paper is addressed the optimal power flow problem in direct current grids, by using solution methods based on metaheuristics techniques and numerical methods. For which was proposed a mixed integer nonlinear programming problem, that describe
Externí odkaz:
https://doaj.org/article/57ef6f7886e7434baf2e66c53baa0baa
Autor:
Miguel Angel Rodriguez-Cabal, Diego Alejandro Herrera-Jaramillo, Juan David Bastidas-Rodriguez, Juan Pablo Villegas-Ceballos, Kevin Smit Montes-Villa
Publikováno v:
Energies, Vol 15, Iss 12, p 4256 (2022)
The energy consumption estimation of a locomotive for a particular route is important for the selection of a locomotive technology, the improvement of the energy management system, the evaluation of the locomotive’s potential energy generation, amo
Externí odkaz:
https://doaj.org/article/288c0d4fb3ca4b0baacf0c48c4e3556d
Publikováno v:
Journal of Applied Engineering Science. 20:145-149
Energy consumption in machining processes has become a problem for today's manufacturing industry. The use of neural networks and optimization algorithms for modeling and prediction of consumption as a function of the cut-off parameters in processes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18fde862ebee3f533577e643ce1b28a5
https://doi.org/10.5937/jaes0-30826
https://doi.org/10.5937/jaes0-30826
Autor:
Juan Gonzalo Ardila Marín, Luis Fernando Grisales Noreña, Miguel Angel Rodriguez Cabal, Oscar Danilo Montoya Giraldo
Publikováno v:
Repositorio Institucional UTB
Universidad Tecnológica de Bolívar
instacron:Universidad Tecnológica de Bolívar
Universidad Tecnológica de Bolívar
instacron:Universidad Tecnológica de Bolívar
This paper presents an analysis of the optimal design of transmission shafts by adopting the approach of a novel continuous genetic algorithm. The optimization case study is formulated as a single-objective optimization problem whose objective functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c06207fd66346acce43a6a070c03c8c9
https://hdl.handle.net/20.500.12585/9181
https://hdl.handle.net/20.500.12585/9181
Autor:
Miguel Ángel Rodríguez Cabal, Luis Fernando Grisales Noreña, Carlos Alberto Ramírez Vanegas, Andrés Arias Londoño
Publikováno v:
TESEA, Transactions on Energy Systems and Engineering Applications, Vol 2, Iss 2 (2022)
This paper proposes the application of the sinecosine algorithm (SCA) to the optimal design of a closed coil helical spring. The optimization problem addressed corresponds to the minimization of total spring volume subject to physical constraints tha
Externí odkaz:
https://doaj.org/article/41f4c228c1f649e88cba9fc110ee7f54
Autor:
Daniel Sanin-Villa, Miguel Angel Rodriguez-Cabal, Luis Fernando Grisales-Noreña, Mario Ramirez-Neria, Juan C. Tejada
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1625 (2024)
This research explores the application of metaheuristic algorithms to refine parameter estimation in dynamic systems, with a focus on the inverted pendulum model. Three optimization techniques, Particle Swarm Optimization (PSO), Continuous Genetic Al
Externí odkaz:
https://doaj.org/article/d87da5dd75f14fc5946405e994fa7d8d