Pedro J. Copado-Méndez

Orcid: 0000-0003-4219-5056

Affiliations:
  • Open University of Catalonia, Barcelona, Spain


According to our database1, Pedro J. Copado-Méndez authored at least 17 papers between 2013 and 2022.

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

Timeline

Legend:

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Bibliography

2022
Resolution of coupling order and station level constraints in train unit scheduling.
Public Transp., 2022

A Digital Twin for Decision Making on Livestock Feeding.
INFORMS J. Appl. Anal., 2022

A Biased-Randomized Discrete-Event Algorithm for the Hybrid Flow Shop Problem with Time Dependencies and Priority Constraints.
Algorithms, 2022

A K-Prototype Clustering Assisted Hybrid Heuristic Approach for Train Unit Scheduling.
Proceedings of the Dependable Computing - EDCC 2022 Workshops, 2022

2021
Combining Heuristics with Simulation and Fuzzy Logic to Solve a Flexible-Size Location Routing Problem under Uncertainty.
Algorithms, 2021

Waste Collection of Medical Items Under Uncertainty Using Internet of Things and City Open Data Repositories: A Simheuristic Approach.
Proceedings of the Winter Simulation Conference, 2021

A Tutorial on how to Connect Python with Different Simulation Software to Develop Rich Simheuristics.
Proceedings of the Winter Simulation Conference, 2021

A Biased-Randomized Discrete-Event Heuristic for the Hybrid Flow Shop Problem with Batching and Multiple Paths.
Proceedings of the Winter Simulation Conference, 2021

A Genetic Algorithm Simheuristic for the Open UAV Task Assignment and Routing Problem with Stochastic Traveling and Servicing Times.
Proceedings of the Winter Simulation Conference, 2021

2020
A Simheuristic Algorithm for Solving the Stochastic Omnichannel Vehicle Routing Problem with Pick-up and Delivery.
Algorithms, 2020

A Discrete-Event Heuristic for Makespan Optimization in Multi-Server Flow-Shop Problems with Machine re-entering.
Proceedings of the Winter Simulation Conference, 2020

A Simheuristic-Learnheuristic Algorithm for the Stochastic Team Orienteering Problem with Dynamic Rewards.
Proceedings of the Winter Simulation Conference, 2020

2016
Enhancing the ϵ-constraint method through the use of objective reduction and random sequences: Application to environmental problems.
Comput. Chem. Eng., 2016

2014
Contribution to the development of efficient algorithms for solving complex single-objective and multi-objective optimization models.
PhD thesis, 2014

MILP-based decomposition algorithm for dimensionality reduction in multi-objective optimization: Application to environmental and systems biology problems.
Comput. Chem. Eng., 2014

2013
Application of Large Neighborhood Search to Strategic Supply Chain Management in the Chemical Industry.
Proceedings of the Hybrid Metaheuristics, 2013

Large neighbourhood search applied to the efficient solution of spatially explicit strategic supply chain management problems.
Comput. Chem. Eng., 2013


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