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

Allocation Problem

Containers

Scheduling

Time

Ships

Ship

Heuristics

Container

Faculteit Behavioural, Management and Social Sciences (BMS), Industrial Engineering & Business Information Systems (IEBIS)

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

Hill, A., Lalla-Ruiz, E., Voβ, S., & Goycoolea, M. (2018). A multi-mode resource-constrained project scheduling reformulation for the waterway ship scheduling problem. Journal of scheduling, 1-10. DOI: 10.1007/s10951-018-0578-9

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

Segredo, E., Lalla-Ruiz, E., Hart, E., & Voß, S. (2018). On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems. Expert systems with applications, 102, 126-142. DOI: 10.1016/j.eswa.2018.02.024

de Armas, J., Ferrer, A., Juan, A. A., & Lalla-Ruiz, E. (2018). Modeling and solving the non-smooth arc routing problem with realistic soft constraints. Expert systems with applications, 98, 205-220. DOI: 10.1016/j.eswa.2018.01.020, 10.1016/j.eswa.2018.02.036

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

Lalla-Ruiz, E. (2017). Intelligent management of seaside logistic operations at maritime container terminals. 4 OR, 15(2), 217-218. DOI: 10.1007/s10288-016-0331-1

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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