Carlos D. Paternina-Arboleda

According to our database1, Carlos D. Paternina-Arboleda authored at least 12 papers between 2005 and 2019.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
A Two-Pheromone Trail Ant Colony System Approach for the Heterogeneous Vehicle Routing Problem with Time Windows, Multiple Products and Product Incompatibility.
Proceedings of the Computational Logistics - 10th International Conference, 2019

Using Advanced Information Systems to Improve Freight Efficiency: Results from a Pilot Program in Colombia.
Proceedings of the Computational Logistics - 10th International Conference, 2019

Caribbean Ports, Inland Logistics, and the Panama Canal Expansion: A Mode and Port Choice Analysis.
Proceedings of the Computational Logistics - 10th International Conference, 2019

Developing Logistic Software Platforms: E-Market Place, a Case Study.
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.
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.
J. Heuristics, 2013

2011
Ant colony optimization algorithm for a Bi-criteria 2-stage hybrid flowshop scheduling problem.
J. Intell. Manuf., 2011

2010
Global Bacteria Optimization Meta-Heuristic Algorithm for Jobshop Scheduling.
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.
Proceedings of the 2009 Winter Simulation Conference, 2009

2008
Scheduling jobs on a <i>k</i> -stage flexible flow-shop.
Ann. Oper. Res., 2008

Simulation-optimization using a reinforcement learning approach.
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.
Simul. Model. Pract. Theory, 2005


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