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

Universitair docent

Expertises

Engineering & Materials Science
Containers
Scheduling
Truck Terminals
Business & Economics
Allocation Problem
Container
Container Terminal
Mathematics
Metaheuristics
Optimization

Publicaties

Recent
Ding, Y., Yang, Y., Heilig, L. , Lalla-Ruiz, E., & Voss, S. (2021). Deployment and retrofit strategy for rubber-tyred gantry cranes considering carbon emissions. Computers and industrial engineering, 161, [107645]. https://doi.org/10.1016/j.cie.2021.107645
Mes, M. , Lalla-Ruiz, E., & Voß, S. (2021). Preface. In Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. v-vi). (Lecture Notes in Computer Science; Vol. 13004).
Gil, A. F. , Lalla-Ruiz, E. , Mes, M., & Castro, C. (2021). Optimization of Green Pickup and Delivery Operations in Multi-depot Distribution Problems. In M. Mes, E. Lalla-Ruiz, & S. Voß (Eds.), Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. 487-501). (Lecture Notes in Computer Science; Vol. 13004). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-87672-2_32
Campuzano, G. , Lalla-Ruiz, E. , & Mes, M. (2021). A Multi-start VNS Algorithm for the TSP-D with Energy Constraints. In M. Mes, E. Lalla-Ruiz, & S. Voß (Eds.), Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. 393-409). (Lecture Notes in Computer Science; Vol. 13004). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-87672-2_26
Dávila de León, A. , Lalla-Ruiz, E., Melián-Batista, B., & Moreno-Vega, J. M. (2021). A simulation–optimization framework for enhancing robustness in bulk berth scheduling. Engineering applications of artificial intelligence, 103, [104276]. https://doi.org/10.1016/j.engappai.2021.104276
Schwarze, S. , Lalla-Ruiz, E., & Voss, S. (2021). Modeling the capacitated p-cable trench problem with facility costs. Central European journal of operations research, 29(2), 713-735. https://doi.org/10.1007/s10100-020-00674-w
Lalla-Ruiz, E. , Mes, M., & Voß, S. (2020). Preface of Computational Logistics book. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Computational Logistics: 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings (pp. v-vi). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12433). Springer.
Fernández Gil, A. , Gómez Sánchez, M. , Lalla-Ruiz, E., & Castro, C. (2020). Cumulative VRP with Time Windows: A Trade-Off Analysis. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Computational Logistics - 11th International Conference, ICCL 2020, Proceedings (pp. 277-291). (Lecture Notes in Computer Science; Vol. 12433). Springer. https://doi.org/10.1007/978-3-030-59747-4_18
Dávila de León, A. , Lalla-Ruiz, E., Melián-Batista, B., & Moreno-Vega, J. M. (2020). A Simulated Annealing-Based Approach for Aid Distribution in Post-disaster Scenarios. In R. Moreno-Díaz, F. Pichler, & A. Quesada-Arencibia (Eds.), Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers (pp. 335-343). (Lecture Notes in Computer Science; Vol. 12013). Springer. https://doi.org/10.1007/978-3-030-45093-9_41
Lalla-Ruiz, E., Heilig, L., & Voß, S. (2020). Assessing Simulated Annealing with Variable Neighborhoods. In N. F. Matsatsinis, Y. Marinakis, & P. Pardalos (Eds.), Learning and Intelligent Optimization: 13th International Conference, LION 13, Chania, Crete, Greece, May 27–31, 2019, Revised Selected Papers (pp. 298-303). (Lecture Notes in Computer Science; Vol. 11968). Springer. https://doi.org/10.1007/978-3-030-38629-0_24
Garcia, J. , Lalla-Ruiz, E., Voss, S., & Lopez Droguett, E. (2020). Enhancing a machine learning binarization framework by perturbation operators: analysis on the multidimensional knapsack problem. International Journal of Machine Learning and Cybernetics, 11(9), 1951-1970. https://doi.org/10.1007/s13042-020-01085-8
Lalla-Ruiz, E., Heilig, L., & Voß, S. (2019). Environmental Sustainability in Ports. In J. Faulin, S. E. Grasman, A. A. Juan, & P. Hirsch (Eds.), Sustainable Transportation and Smart Logistics: Decision-Making Models and Solutions (pp. 65-89). Elsevier. https://doi.org/10.1016/B978-0-12-814242-4.00003-X
Heilig, L. , Lalla-Ruiz, E., Bode, C., & Voß, S. (2019). Assessment of quay and yard transshipment operations under proximity limitations in multi-terminal container ports. In T. X. Bui (Ed.), Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 (pp. 1548-1557). (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2019-January). IEEE Computer Society Press.
Exposito-Izquierdo, C., de Armas, J. , Lalla-Ruiz, E., Melian-Batista, B., & Marcos Moreno-Vega, J. (2019). Multi-stage approach for the transshipment of import containers at maritime container terminals. IET Intelligent Transport Systems, 13(4), 714-728. https://doi.org/10.1049/iet-its.2018.5147
de Armas, J., Ramalhinho, H. , Lalla-Ruiz, E., Melian-Batista, B., & Moreno-Vega, M. (2019). Operations Research for Transportation and Sustainable Development. Journal of advanced transportation, 2019. https://doi.org/10.1155/2019/4146362
Lalla-Ruiz, E., Shi, X., & Voss, S. (2019). Special Issue on: Decision Analytics in Port and Shipping Logistics: editorial. International Journal of Shipping and Transport Logistics, 11(4), 281-286. https://www.inderscience.com/info/dl.php?filename=2019/ijstl-6365.pdf
Kramer, A. , Lalla-Ruiz, E., Iori, M., & Voß, S. (2019). Novel formulations and modeling enhancements for the dynamic berth allocation problem. European journal of operational research, 278(1), 170-185. https://doi.org/10.1016/j.ejor.2019.03.036
Lalla-Ruiz, E., Segredo, E., & Voß, S. (2018). A cooperative learning approach for the quadratic Knapsack problem. In P. M. Pardalos, R. Battiti, M. Brunato, & I. Kotsireas (Eds.), Learning and Intelligent Optimization: 12th International Conference, LION 12, Revised Selected Papers (pp. 31-35). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11353 LNCS). Springer. https://doi.org/10.1007/978-3-030-05348-2_3

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Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (gebouwnr. 10), kamer 3105
Hallenweg 17
7522NH  Enschede

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Postadres

Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  3105
Postbus 217
7500 AE Enschede