Carlos D. Paternina-Arboleda

20 papers Misc 2Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Mathematical Optimization Approach for Prioritized Services in IoT Networks for Energy-constrained Smart Cities.
Int. J. Comput. Commun. Control
Germán Adolfo Montoya, Carlos Andres Lozano-Garzon, Carlos D. Paternina-Arboleda, Yezid Donoso
2024 — conf
An Enterprise-Wide Optimization System for Sustainable Regional Planning.
ICCL
Jesús Velásquez-Bermúdez, Carlos D. Paternina-Arboleda, Jairo R. Montoya-Torres
2024 — ed.
Computational Logistics - 15th International Conference, ICCL 2024, Monterrey, Mexico, September 8-10, 2024, Proceedings
ICCL
Alexander Garrido, Carlos D. Paternina-Arboleda, Stefan Voß
2024 — conf
Evaluating Port Emissions Prediction Model Resilience Against Cyberthreats.
ICCL
Venkata Sai Sandeep Vennam, Carlos D. Paternina-Arboleda, Morteza Safaei Pour
2024 — conf
Predictive Modeling Performance Comparison of Port-Based Hydrocarbon Emissions Using Multiple Linear Regression, Decision Trees and Random Forest.
ICCL
Mythili Basangoudar, Carlos D. Paternina-Arboleda, Dayana Agudelo-Castañeda
2023 — conf
Cybersecurity Considerations for the Design of an AI-Driven Distributed Optimization of Container Carbon Emissions Reduction for Freight Operations.
ICCL
Carlos D. Paternina-Arboleda, Alexander Nestler, Nicholas Kascak, Morteza Safaei Pour
2021 J jnl
A memetic algorithm to address the multi-node resource-constrained project scheduling problem.
J. Sched.
Luis F. Machado-Domínguez, Carlos D. Paternina-Arboleda, Jorge I. Vélez, Agustín Barrios Sarmiento
2019 — conf
A Two-Pheromone Trail Ant Colony System Approach for the Heterogeneous Vehicle Routing Problem with Time Windows, Multiple Products and Product Incompatibility.
ICCL
Andres Palma-Blanco, Esneyder Rafael González, Carlos D. Paternina-Arboleda
2019 — conf
Caribbean Ports, Inland Logistics, and the Panama Canal Expansion: A Mode and Port Choice Analysis.
ICCL
Nicolas Gomez-Jacome, Guisselle A. Garcia Llinas, Carlos D. Paternina-Arboleda, Miguel Jaller-Martelo
2019 — ed.
Computational Logistics - 10th International Conference, ICCL 2019, Barranquilla, Colombia, September 30 - October 2, 2019, Proceedings
ICCL
Carlos D. Paternina-Arboleda, Stefan Voß
2019 — conf
Developing Logistic Software Platforms: E-Market Place, a Case Study.
ICCL
Wilson Nieto-Bernal, Miguel A. Jiménez-Barros, Daladier Jabba Molinares, Carlos D. Paternina-Arboleda
2019 — conf
Using Advanced Information Systems to Improve Freight Efficiency: Results from a Pilot Program in Colombia.
ICCL
Adriana Moros-Daza, Daniela Cassandro-De La Hoz, Miguel Jaller-Martelo, Carlos D. Paternina-Arboleda
2014 J jnl
Solving the heterogeneous vehicle routing problem with time windows and multiple products via a bacterial meta-heuristic.
Int. J. Adv. Oper. Manag.
Jaime E. Amador-Fontalvo, Carlos D. Paternina-Arboleda, Jairo R. Montoya-Torres
2013 J jnl
A two-pheromone trail ant colony system - tabu search approach for the heterogeneous vehicle routing problem with time windows and multiple products.
J. Heuristics
Jair J. De la Cruz, Carlos D. Paternina-Arboleda, Víctor Cantillo, Jairo R. Montoya-Torres
2011 J jnl
Ant colony optimization algorithm for a Bi-criteria 2-stage hybrid flowshop scheduling problem.
J. Intell. Manuf.
Elyn L. Solano-Charris, Jairo R. Montoya-Torres, Carlos D. Paternina-Arboleda
2010 J jnl
Global Bacteria Optimization Meta-Heuristic Algorithm for Jobshop Scheduling.
Int. J. Oper. Res. Inf. Syst.
Jairo R. Montoya-Torres, Libardo S. Gómez-Vizcaíno, Elyn L. Solano-Charris, Carlos D. Paternina-Arboleda
2009 Misc conf
Bayesian Models and Stochastic Processes applied to CSP Sampling Plans for Quality Control in Production in Series and by Lots.
WSC
Rodrigo A. Barbosa Correa, Carlos D. Paternina-Arboleda, Diana Gineth Ramírez Ríos
2008 J jnl
Scheduling jobs on a
Ann. Oper. Res.
Carlos D. Paternina-Arboleda, Jairo R. Montoya-Torres, Milton J. Acero-Dominguez, Maria C. Herrera-Hernandez
2008 Misc conf
Simulation-optimization using a reinforcement learning approach.
WSC
Carlos D. Paternina-Arboleda, Jairo R. Montoya-Torres, Aldo Fabregas-Ariza
2005 J jnl
A multi-agent reinforcement learning approach to obtaining dynamic control policies for stochastic lot scheduling problem.
Simul. Model. Pract. Theory
Carlos D. Paternina-Arboleda, Tapas K. Das