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

  • Randomised Optimisation Algorithms Research Network (ROAR-NET). Action Chair: Carlos Fonseca. Management Committee. COST Action CA22137. 2023-2027
  • Waste Recycling for Planeraty Wellbeing. Main researchers: Jésica de Armas, Jaume Garcia Villar. Planetary Wellbeing, UPF. 2021-2023
  • Logistics Optimization of the Home Social Care Services. Industrial PhD. IP: Jésica de Armas; PhD student: Daniel Lopez Badell. Barcelona City Council (Institut Municipal de Serveis Socials) and AGAUR, Generalitat de Catalunya. 2020-2023
  • EPHoCaS: The social urgency of a growing elderly population: Building sustainable home care services. Main researchers: Jésica de Armas. Social Research La Caixa. 2020-2022
  • 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

  • Optimization for the refugees’ resettlement
  • Operations Research for Rural Remote Areas
  • Improving the Learning Mechanism in Local Search Algorithms.
  • Robust Solutions for the Ambulance Routing Problem in Disasters Response under Uncertain Travel Times.


  • Health Care Needs and Services for Elderly and Disabled Populations. Findings from a Barcelona Study. Int. J. Environ. Res. Public Health, 17(21), 8071, 2020. DOI:
  • Assessing the Distribution of Elderly Requiring Care: A Case Study on the Residents in Barcelona and the Impact of COVID-19. Int. J. Environ. Res. Public Health, 17(20), 7486, 2020. DOI:
  • Modeling human network behavior using simulation and optimization tools: the need for hybridization. SORT-Statistics and Operations Research Transactions. 43(2), 193-222. 2019. DOI:
  • A Multi-Stage Approach for the Transshipment of Import Containers at Maritime Container Terminals. IET Intelligent Transport Systems. 2018.  DOI:
  • 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:
  • A Two-Stage Biased-Randomized Iterated Local Search for the Uncapacitated Single-Allocation p-Hub Median Problem. Transactions on Emerging Telecommunications Technologies. 2018.  DOI:
  • A Variable Neighborhood Search Simheuristic for the Multi-Period Inventory Routing Problem with Stochastic Demands. International Transactions in Operational Research. 2018. DOI:
  • 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:
  • Biased Randomization of Heuristics: supporting real-time decision making in transportation, logistics, and production. Computers & Industrial Engineering. 110, 216-228, 2017. DOI:
  • 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:
  • Learnheuristics: hybridizing metaheuristics with machine learning for optimization problems with dynamic inputs. Open Mathematics. 15(1). pp. 261-280. 2017. DOI:
  • 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:
  • 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:
  • Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges. Energies, 9, 86, 2016. DOI:
  • 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:
  • 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:
  • 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: