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dr.ir. E.A. Lalla (Eduardo)

Assistant Professor

About Me

Eduardo Lalla-Ruiz is an assistant professor at the Department of Industrial Engineering and Business Information Systems (IEBIS) at the University of Twente (Enschede, Netherlands).  He holds a bachelor degree in industrial engineering, an advanced degree in industrial automation engineering, and a master of advanced studies in computer science and artificial intelligence from the University of La Laguna (Spain). At that same institution, Eduardo completed his Ph.D. and was awarded extraordinary doctoral distinction. After finishing his Ph.D., Eduardo was hired as a researcher and lecturer at the Institute of Information Systems (University of Hamburg). There, Eduardo became a fellow of the prestigious Alexander von Humboldt Foundation. Eduardo has published several research papers in specialized journals, collaborated in international research projects, served as guest editor and referee in relevant journals, and participated in the organization of sessions and conferences. His research interests lie in the fields of logistics, operations research, mathematical programming, decision support systems, and artificial intelligence. 

 

Expertise

Allocation Problem
Containers
Scheduling
Time
Ships
Ship
Heuristics
Container

Publications

Recent
Heilig, L., Lalla-Ruiz, E., Voss, S., & Buyya, R. (2018). Metaheuristics in cloud computing. Software : practice and experience, 48(10), 1729-1733. DOI: 10.1002/spe.2628
Segredo, E., Lalla-Ruiz, E., & Hart, E. (2018). A novel similarity-based mutant vector generation strategy for differential evolution. In Proceedings of GECCO '18 : Genetic and Evolutionary Computation Conference, 15-19 July 2018, Kyoto, Japan (pp. 881-888). New York: Association for Computing Machinery. DOI: 10.1145/3205455.3205628
Iris, Ç., Lalla-Ruiz, E., Lam, J. S. L., & Voß, S. (2018). Mathematical programming formulations for the strategic berth template problem. Computers and industrial engineering, 124, 167-179. DOI: 10.1016/j.cie.2018.07.003
de León, A. D., Lalla-Ruiz, E., Melián-Batista, B., & Moreno-Vega, J. M. (2018). Meta-learning-based system for solving logistic optimization problems. In R. Moreno-Díaz, F. Pichler, & A. Quesada-Arencibia (Eds.), Computer Aided Systems Theory – EUROCAST 2017: 16th International Conference, Las Palmas de Gran Canaria, Spain, February 19-24, 2017. Revised Selected Papers, Part I (pp. 339-346). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10671). Cham: Springer. DOI: 10.1007/978-3-319-74718-7_41
Lalla-Ruiz, E., Shi, X., & Voß, S. (2018). The waterway ship scheduling problem. Transportation Research Part D: Transport and Environment, 60, 191-209. DOI: 10.1016/j.trd.2016.09.013
de León, A. D., Lalla-Ruiz, E., Melián-Batista, B., & Moreno-Vega, J. M. (2017). Meta-learning-based System for solving Logistic Optimization Problems. 100-101. Abstract from 16th International Conference on Computer Aided Systems Theory 2017, Las Palmas de Gran Canaria, Spain.
de Armas, J., Lalla-Ruiz, E., & Moreno-Vega, J. M. (2017). Dynamic Ambulance Routing for Disaster. 296-297. Abstract from 16th International Conference on Computer Aided Systems Theory 2017, Las Palmas de Gran Canaria, Spain.
Expósito-izquierdo, C., Lalla-ruiz, E., De Armas, J., Melián-batista, B., & Moreno-Vega, J. M. (2017). Maritime Container Terminal Problems. In R. Martí, P. Panos, & M. G. C. Resende (Eds.), Handbook of Heuristics (pp. 1-27). [Chapter 57-1] Cham: Springer International Publishing. DOI: 10.1007/978-3-319-07153-4_57-1
Lopez-Plata, I., Exposito-Izquierdo, C., Lalla-Ruiz, E., Melian-Batista, B., & Marcos Moreno-Vega, J. (2017). Minimizing the Waiting Times of block retrieval operations in stacking facilities. Computers and industrial engineering, 103, 70-84. DOI: 10.1016/j.cie.2016.11.015
Heilig, L., Lalla-Ruiz, E., & Voß, S. (2017). port-IO: an integrative mobile cloud platform for real-time inter-terminal truck routing optimization. Flexible services and manufacturing journal, 29(3-4), 504-534. DOI: 10.1007/s10696-017-9280-z
Lalla-Ruiz, E., de Armas, J., Exposito-Izquierdo, C., Melian-Batista, B., & Marcos Moreno-Vega, J. (2017). Multi-leader migrating birds optimisation: a novel nature-inspired metaheuristic for combinatorial problems. International Journal of Bio-Inspired Computation, 10(2), 89-98. DOI: 10.1504/IJBIC.2017.10004319
Schulte, F., Lalla-Ruiz, E., Gonzalez-Ramirez, R. G., & Voss, S. (2017). Reducing port-related empty truck emissions: A mathematical approach for truck appointments with collaboration. Transportation research. Part E: Logistics and transportation review, 105, 195-212. DOI: 10.1016/j.tre.2017.03.008
Heilig, L., Lalla-Ruiz, E., & Voss, S. (2017). Multi-objective inter-terminal truck routing. Transportation research. Part E: Logistics and transportation review, 106, 178-202. DOI: 10.1016/j.tre.2017.07.008
Heilig, L., Lalla-Ruiz, E., & Voß, S. (2017). Digital transformation in maritime ports: analysis and a game theoretic framework. NETNOMICS: Economic Research and Electronic Networking, 18(2-3), 227-254. DOI: 10.1007/s11066-017-9122-x
de León, A. D., Lalla-Ruiz, E., Melián-Batista, B., & Marcos Moreno-Vega, J. (2017). A Machine Learning-based system for berth scheduling at bulk terminals. Expert systems with applications, 87, 170-182. DOI: 10.1016/j.eswa.2017.06.010
Nishi, T., Okura, T., Lalla-Ruiz, E., & Voß, S. (2017). A dynamic programming-based matheuristic for the dynamic berth allocation problem. Annals of operations research, 1-20. DOI: 10.1007/s10479-017-2715-9
Lalla-Ruiz, E., Voß, S., Expósito-Izquierdo, C., Melián-Batista, B., & Moreno-Vega, J. M. (2017). A POPMUSIC-based approach for the berth allocation problem under time-dependent limitations. Annals of operations research, 253(2), 871-897. DOI: 10.1007/s10479-015-2055-6
Expósito-Izquiero, C., Lalla-Ruiz, E., Lamata, T., Melián-Batista, B., & Moreno-Vega, J. M. (2016). Fuzzy optimization models for seaside port logistics: Berthing and quay crane scheduling. In K. Madani, A. Dourado, A. Rosa, J. Filipe, & J. Kacprzyk (Eds.), Computational Intelligence: Revised and Selected Papers of the International Joint Conference, IJCCI 2013, Vilamoura, Portugal, September 20-22, 2013 (pp. 323-343). (Studies in Computational Intelligence; Vol. 613). Cham: Springer. DOI: 10.1007/978-3-319-23392-5_18
Lalla-Ruiz, E., Schwarze, S., & Voß, S. (2016). A matheuristic approach for the p-Cable trench problem. In P. Festa, M. Sellmann, & J. Vanschoren (Eds.), Learning and Intelligent Optimization: 10th International Conference, LION 10, Ischia, Italy, May 29 - June 1, 2016, Revised Selected Papers (pp. 247-252). (Lecture Notes in Computer Science; Vol. 10079), (Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. DOI: 10.1007/978-3-319-50349-3_19
Lalla-Ruiz, E., Expósito-Izquierdo, C., Taheripour, S., & Voß, S. (2016). An improved formulation for the multi-depot open vehicle routing problem. OR Spectrum, 38(1), 175-187. DOI: 10.1007/s00291-015-0408-9
Heilig, L., Lalla-Ruiz, E., & Voß, S. (2016). port-IO: A mobile cloud platform supporting context-aware inter-terminal truck routing. Paper presented at 24th European Conference on Information Systems, ECIS 2016, Istanbul, Turkey.

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Visiting Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (building no. 10), room 3351
Hallenweg 17
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  3351
P.O. Box 217
7500 AE Enschede
The Netherlands