Research

Research Interests

My research interests include Combinatorial Optimization, Metaheuristics, Machine Learning, Vehicle Routing, Scheduling, Logistics, Production and Transportation, Home Health Care, Humanitarian Logistics

Research Projects

  • OptCareServices: Logistics Optimization for the Home Health and Social Care Services. Main researchers: Jésica de Armas & Helena Ramalhinho. Spanish Ministry of Economy and Competitiveness RTI2018-095197-B-I00. 2019-2022
  • Red de Excelencia en Transporte, Logística, y Producción Inteligente. Main researcher: Angel A. Juan. Spanish Ministry of Economy and Competitiveness. TRA2015-71883-REDT. 2016-2017
  • ComputerCOOP: Computer-based decision support for Horizontal Cooperation in Transportation and Logistics. Main researchers: Angel A. Juan & Joan M. Marques. Spanish Ministry of Economy and Competitiveness. TRA2013-48180-C3-3-P. 2014-2016
  • SmartLogistics@IB: Red Iberoamericana de Logística Inteligente en la Gestión Sostenible del Transporte en Núcleos Urbanos. Main researcher: Javier Faulin. CYTED2014-P514RT0013. 2015-2018
  • iTRANS. Development of an Intelligent System for Planning, Eco-efficient Management and Dynamic Transport Optimization. Main researcher: Belén Melián. Ministry of Industry, Tourism and Commerce. TSI- 020100-2011-298.  2012
  • TOP – Parallel Optimization Techniques. Hybridization of evolutionary and hyperheuristic computation. Main researcher: Coromoto León. Spanish Ministry of Science and Innovation. TIN2011-25448. 2011
  • Multiobjective Metaheuristics and Engineering. Spanish Ministry of Science and Innovation. Main researcher: Coromoto León. TIN2008- 06491-C04-02. 2008

Work in progress

  • Improving the accessibility to public schools in urban areas of developing countries through a location model (with Helena Ramalhinho and Marta Reynal)
  • Syncronizing Home Health Care and Social Care Problems (with Helena Ramalhinho)
  • Similarity in metaheuristics: a gentle step towards a comparison methodology (with Eduardo Lalla and Stefan Voss)
  • Improving the Learning Mechanism in Local Search Algorithms.
  • Robust Solutions for the Ambulance Routing Problem in Disasters Response under Uncertain Travel Times.

Publications

  • Modeling human network behavior using simulation and optimization tools: the need for hybridization. SORT. 2019. Accepted, to appear.
  • A Multi-Stage Approach for the Transshipment of Import Containers at Maritime Container Terminals. IET Intelligent Transport Systems. 2018.  DOI: https://doi.org/10.1049/iet-its.2018.5147
  • Combining variable neighborhood search with simulation for the inventory routing problem with stochastic demands and stock-outs. Computers & Industrial Engineering. 123, 278-288. 2018. DOI: https://doi.org/10.1016/j.cie.2018.06.036
  • A Two-Stage Biased-Randomized Iterated Local Search for the Uncapacitated Single-Allocation p-Hub Median Problem. Transactions on Emerging Telecommunications Technologies. 2018.  DOI: https://doi.org/10.1002/ett.3418
  • A Variable Neighborhood Search Simheuristic for the Multi-Period Inventory Routing Problem with Stochastic Demands. International Transactions in Operational Research. 2018. DOI: https://doi.org/10.1111/itor.12540
  • Multi criteria biased randomized method for resource allocation in distributed systems: Application in a volunteer computing system. Future Generation Computer Systems. 82, 29-40, 2018. DOI: https://doi.org/10.1016/j.future.2017.11.039
  • Biased Randomization of Heuristics: supporting real-time decision making in transportation, logistics, and production. Computers & Industrial Engineering. 110, 216-228, 2017. DOI: https://doi.org/10.1016/j.cie.2017.06.019
  • Statistical and machine learning approaches for the minimization of trigger errors in parametric earthquake catastrophe bonds. SORT-Statistics and Operations Research Transactions, 41 (2), 1-20. 2017. DOI: https://doi.org/10.2436/20.8080.02.64
  • Learnheuristics: hybridizing metaheuristics with machine learning for optimization problems with dynamic inputs. Open Mathematics. 15(1). pp. 261-280. 2017. DOI: https://doi.org/10.1515/math-2017-0029
  • Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic. Journal of Operational Research Society. 68(10), 1161-1176. 2017. DOI: https://doi.org/10.1057/s41274-016-0155-6
  • A multi-start randomized heuristic for real-life crew rostering problems in airlines with work-balancing goals. Annals of Operations Research, 258(2), 825-848. 2017. DOI: https://doi.org/10.1007/s10479-016-2260-y
  • Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges. Energies, 9, 86, 2016. DOI: https://doi.org/10.3390/en9020086
  • A Heuristic Algorithm based on an Improvement Strategy to Exploit Idle Time Periods for the Stacking Problem. Computers & Industrial Engineering. 87, pp. 410 – 424. 2015. DOI: https://doi.org/10.1016/j.cie.2015.05.030
  • Improving the efficiency of a best-first bottom-up approach for the constrained 2D cutting problem. European Journal of Operational Research. 219 – 0, pp. 201 – 213. 2012. DOI: https://doi.org/10.1016/j.ejor.2011.11.002
  • Optimisation of a multi-objective two- dimensional strip packing problem based on evolutionary algorithms. International Journal of Production Research. 48 – 7, pp. 2011 – 2028. 2009. DOI: https://doi.org/10.1080/00207540902729926