Publicacions en què col·labora amb Eduardo Lalla Ruiz (29)

2022

  1. Disruption Management Approaches for Berth Scheduling in Bulk Terminals

    Journal of Advanced Transportation, Vol. 2022

2021

  1. A simulation–optimization framework for enhancing robustness in bulk berth scheduling

    Engineering Applications of Artificial Intelligence, Vol. 103

2020

  1. A Simulated Annealing-Based Approach for Aid Distribution in Post-disaster Scenarios

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018

  1. Maritime container terminal problems

    Handbook of Heuristics (Springer International Publishing), pp. 1051-1077

  2. Meta-learning-based system for solving logistic optimization problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2016

  1. A Hybrid Biased Random Key Genetic Algorithm for the Quadratic Assignment Problem

    Information Processing Letters, Vol. 116, Núm. 8, pp. 513-520

  2. A Set-Partitioning-based model for the Berth Allocation Problem under Time-Dependent Limitations

    European Journal of Operational Research, Vol. 250, Núm. 3, pp. 1001-1012

  3. A cooperative search for berth scheduling

    Knowledge Engineering Review, Vol. 31, Núm. 5, pp. 498-507

  4. Fuzzy optimization models for seaside port logistics: Berthing and quay crane scheduling

    Studies in Computational Intelligence (Springer Verlag), pp. 323-343

2015

  1. A greedy randomized adaptive search procedure for solving the uncapacitated plant cycle problem

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. A heuristic algorithm based on an improvement strategy to exploit idle time periods for the Stacking Problem

    Computers and Industrial Engineering, Vol. 87, pp. 410-424

  3. A hybrid GRASP-VNS for ship routing and scheduling problem with discretized time windows

    Engineering Applications of Artificial Intelligence, Vol. 45, pp. 350-360

  4. A multi-stage approach aimed at optimizing the transshipment of containers in a maritime container terminal

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)