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)

Simulation-optimization using a reinforcement learning approach. - Carlos D. Paternina-Arboleda; Jairo R. Montoya-Torres; Aldo Fabregas-Ariza (WSC, 2008)

Scheduling jobs on a k -stage flexible flow-shop. - Carlos D. Paternina-Arboleda; Jairo R. Montoya-Torres; Milton J. Acero-Dominguez; Maria C. Herrera-Hernandez (Ann. Oper. Res., 2008)

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 (WSC, 2009)

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)

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)

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)

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)

Developing Logistic Software Platforms: E-Market Place, a Case Study. - Wilson Nieto-Bernal; Miguel A. Jimenez-Barros; Daladier Jabba Molinares; Carlos D. Paternina-Arboleda (ICCL, 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 (ICCL, 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 (ICCL, 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 (ICCL, 2019)

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)

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 (ICCL, 2023)

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 (ICCL, 2024)

An Enterprise-Wide Optimization System for Sustainable Regional Planning. - Jesús Velásquez-Bermúdez; Carlos D. Paternina-Arboleda; Jairo R. Montoya-Torres (ICCL, 2024)

Evaluating Port Emissions Prediction Model Resilience Against Cyberthreats. - Venkata Sai Sandeep Vennam; Carlos D. Paternina-Arboleda; Morteza Safaei Pour (ICCL, 2024)

A Mathematical Optimization Approach for Prioritized Services in IoT Networks for Energy-constrained Smart Cities. - Germán Adolfo Montoya; Carlos Andres Lozano-Garzon; Carlos D. Paternina-Arboleda; Yezid Donoso (Int. J. Comput. Commun. Control, 2025)