Zobrazeno 1 - 10
of 56
pro vyhledávání: '"MAURICIO GRANADA ECHEVERRI"'
Autor:
César Augusto Marín Moreno, Luis Miguel Escobar Falcón, John Willmer Escobar, Antonio Hernando Escobar Zuluaga, Mauricio Granada Echeverri
Publikováno v:
Decision Science Letters, Vol 8, Iss 4, Pp 519-530 (2019)
This paper proposes a two-phase heuristic algorithm to solve the crew scheduling problem of the Megabus Bus Rapid Transit System. In the first stage, a division of the original schedules is performed using a recursive algorithm based on dynamic sched
Externí odkaz:
https://doaj.org/article/81cae8011842454eb59ee6ffa25a5898
Autor:
César Augusto Marín Moreno, Luis Miguel Escobar Falcón, Rubén Iván Bolaños, Anand Subramanian, Antonio Hernando Escobar Zuluaga, Mauricio Granada Echeverri
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 10, Iss 3, Pp 361-374 (2019)
In this article, a hybrid algorithm is proposed to solve the Vehicle Scheduling Problem with Multiple Depots. The proposed methodology uses a genetic algorithm, initialized with three specialized constructive procedures. The solution generated by thi
Externí odkaz:
https://doaj.org/article/1974c48955564325801748c1adea6027
Publikováno v:
TecnoLógicas, Vol 22, Iss 44, Pp 1-20 (2019)
Logistics companies are largely encouraged to make greener their operations through an efficient solution with electric vehicles (EVs). However, the driving range is one of the limiting aspects for the introduction of EVs in logistics fleet, due to t
Externí odkaz:
https://doaj.org/article/cfcdaf4304dd48acb11edacc62317683
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 9, Iss 4, Pp 467-478 (2018)
This paper proposes a metaheuristic algorithm to solve the Multi-Depot Vehicle Routing Problem with a Heterogeneous Fleet (MDHFVRP). The problem consists of determining the customers and the vehicles to be assigned to each used depot and the routes t
Externí odkaz:
https://doaj.org/article/e044db8034904b2a821fc2013d7a7dfe
Autor:
Luis Fernando Grisales-Noreña, Oscar Danilo Montoya, Ricardo Alberto Hincapié-Isaza, Mauricio Granada Echeverri, Alberto-Jesus Perea-Moreno
Publikováno v:
Mathematics, Vol 9, Iss 16, p 1913 (2021)
In this paper, we propose a master–slave methodology to address the problem of optimal integration (location and sizing) of Distributed Generators (DGs) in Direct Current (DC) networks. This proposed methodology employs a parallel version of the Po
Externí odkaz:
https://doaj.org/article/ad718844ad144d9790a60100c69451db
Autor:
Jhon Jairo Santa Chávez, John Willmer Escobar, Mauricio Granada Echeverri, César Augusto Peñuela Meneses
Publikováno v:
Decision Science Letters, Vol 7, Iss 2, Pp 171-180 (2017)
In this paper, a heuristic algorithm based on Tabu Search Approach for solving the Vehicle Routing Problem with Backhauls (VRPB) is proposed. The problem considers a set of customers divided in two subsets: Linehaul and Backhaul customers. Each Lineh
Externí odkaz:
https://doaj.org/article/80acbf702741459895866c0e2b2c14bd
Autor:
Eliana M. Toro, John F. Franco, Mauricio Granada Echeverri, Frederico G. Guimarães, Ramón A. Gallego Rendón
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 8, Iss 2, Pp 203-216 (2016)
This paper introduces a new bi-objective vehicle routing problem that integrates the Open Location Routing Problem (OLRP), recently presented in the literature, coupled with the growing need for fuel consumption minimization, named Green OLRP (G-OLRP
Externí odkaz:
https://doaj.org/article/26a02d166af2435aa037589aa5bf8ee3
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 7, Iss 1, Pp 35-48 (2016)
This paper presents a multiobjective ant colony algorithm for the Multi-Depot Vehicle Routing Problem with Backhauls (MDVRPB) where three objectives of traveled distance, traveling times and total consumption of energy are minimized. An ant colony al
Externí odkaz:
https://doaj.org/article/6e6b2f68e4174f5ab1601bc380ed1a4a
Publikováno v:
Dyna, Vol 78, Iss 169, Pp 79-87 (2011)
Este artículo presenta un algoritmo eficiente para el análisis probabilístico de sistemas de distribución trifásicos desbalanceados con conexión de generadores distribuidos (sistemas levemente enmallados). Este algoritmo hace uso de la técnica
Externí odkaz:
https://doaj.org/article/2e8dee6b8a68418e9691a0a6a165d41b
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 53, Pp 225-235 (2010)
Este artículo presenta un método de solución descentralizada para el problema de flujo de potencia AC en sistemas de potencia con áreas interconectadas. La metodología propuesta permite encontrar el punto de operación de un área en particular
Externí odkaz:
https://doaj.org/article/cab641d058784fc9916669329d453e89