Carlos D. Paternina-Arboleda

According to our database, Carlos D. Paternina-Arboleda authored at least 17 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating Port Emissions Prediction Model Resilience Against Cyberthreats.

Venkata Sai Sandeep Vennam, Carlos D. Paternina-Arboleda, Morteza Safaei Pour

Proceedings of the Computational Logistics - 15th International Conference, 2024

An Enterprise-Wide Optimization System for Sustainable Regional Planning.

Jesús Velásquez-Bermúdez, Carlos D. Paternina-Arboleda, Jairo R. Montoya-Torres

Proceedings of the Computational Logistics - 15th International Conference, 2024

Predictive Modeling Performance Comparison of Port-Based Hydrocarbon Emissions Using Multiple Linear Regression, Decision Trees and Random Forest.

Mythili Basangoudar, Carlos D. Paternina-Arboleda, Dayana Agudelo-Castañeda

Proceedings of the Computational Logistics - 15th International Conference, 2024

2023

Cybersecurity Considerations for the Design of an AI-Driven Distributed Optimization of Container Carbon Emissions Reduction for Freight Operations.

Carlos D. Paternina-Arboleda, Alexander Nestler, Nicholas Kascak, Morteza Safaei Pour

Proceedings of the Computational Logistics - 14th International Conference, 2023

2021

A memetic algorithm to address the multi-node resource-constrained project scheduling problem.

Luis F. Machado-Domínguez, Carlos D. Paternina-Arboleda, Jorge I. Vélez, Agustín Barrios Sarmiento

J. Sched., 2021

2019

A Two-Pheromone Trail Ant Colony System Approach for the Heterogeneous Vehicle Routing Problem with Time Windows, Multiple Products and Product Incompatibility.

Andres Palma-Blanco, Esneyder Rafael González, Carlos D. Paternina-Arboleda

Proceedings of the Computational Logistics - 10th International Conference, 2019

Using Advanced Information Systems to Improve Freight Efficiency: Results from a Pilot Program in Colombia.

Adriana Moros-Daza, Daniela Cassandro-De La Hoz, Miguel Jaller-Martelo, Carlos D. Paternina-Arboleda

Proceedings of the Computational Logistics - 10th International Conference, 2019

Caribbean Ports, Inland Logistics, and the Panama Canal Expansion: A Mode and Port Choice Analysis.

Nicolas Gomez-Jacome, Guisselle A. Garcia Llinas, Carlos D. Paternina-Arboleda, Miguel Jaller-Martelo

Proceedings of the Computational Logistics - 10th International Conference, 2019

Developing Logistic Software Platforms: E-Market Place, a Case Study.

Wilson Nieto-Bernal, Miguel A. Jimenez-Barros, Daladier Jabba Molinares, Carlos D. Paternina-Arboleda

Proceedings of the Computational Logistics - 10th International Conference, 2019

2014

Solving the heterogeneous vehicle routing problem with time windows and multiple products via a bacterial meta-heuristic.

Jaime E. Amador-Fontalvo, Carlos D. Paternina-Arboleda, Jairo R. Montoya-Torres

Int. J. Adv. Oper. Manag., 2014

2013

A two-pheromone trail ant colony system - tabu search approach for the heterogeneous vehicle routing problem with time windows and multiple products.

Jair J. De la Cruz, Carlos D. Paternina-Arboleda, Víctor Cantillo, Jairo R. Montoya-Torres

J. Heuristics, 2013

2011

Ant colony optimization algorithm for a Bi-criteria 2-stage hybrid flowshop scheduling problem.

Elyn L. Solano-Charris, Jairo R. Montoya-Torres, Carlos D. Paternina-Arboleda

J. Intell. Manuf., 2011

2010

Global Bacteria Optimization Meta-Heuristic Algorithm for Jobshop Scheduling.

Jairo R. Montoya-Torres, Libardo S. Gómez-Vizcaíno, Elyn L. Solano-Charris, Carlos D. Paternina-Arboleda

Int. J. Oper. Res. Inf. Syst., 2010

2009

Bayesian Models and Stochastic Processes applied to CSP Sampling Plans for Quality Control in Production in Series and by Lots.

Rodrigo A. Barbosa Correa, Carlos D. Paternina-Arboleda, Diana Gineth Ramírez Ríos

Proceedings of the 2009 Winter Simulation Conference, 2009

2008

Scheduling jobs on a <i>k</i> -stage flexible flow-shop.

Carlos D. Paternina-Arboleda, Jairo R. Montoya-Torres, Milton J. Acero-Dominguez, Maria C. Herrera-Hernandez

Ann. Oper. Res., 2008

Simulation-optimization using a reinforcement learning approach.

Carlos D. Paternina-Arboleda, Jairo R. Montoya-Torres, Aldo Fabregas-Ariza

Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

2005

A multi-agent reinforcement learning approach to obtaining dynamic control policies for stochastic lot scheduling problem.

Carlos D. Paternina-Arboleda, Tapas K. Das

Simul. Model. Pract. Theory, 2005