| Electric vehicles in logistics and transportation: A survey on emerging environmental, strategic, and operational challenges AA Juan, CA Mendez, J Faulin, J De Armas, SE Grasman Energies 9 (2), 86, 2016 | 96 | 2016 |
| Biased randomization of heuristics using skewed probability distributions: a survey and some applications A Grasas, AA Juan, J Faulin, J De Armas, H Ramalhinho Computers & Industrial Engineering 110, 216-228, 2017 | 76 | 2017 |
| Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic J de Armas, AA Juan, JM Marquès, JP Pedroso Journal of the Operational Research Society 68 (10), 1161-1176, 2017 | 61 | 2017 |
| Variable neighborhood search for a dynamic rich vehicle routing problem with time windows J de Armas, B Melián-Batista Computers & Industrial Engineering 85, 120-131, 2015 | 60 | 2015 |
| Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs L Calvet, J de Armas, D Masip, AA Juan Open Mathematics 15 (1), 261-280, 2017 | 59 | 2017 |
| A variable neighborhood search simheuristic for the multiperiod inventory routing problem with stochastic demands A Gruler, J Panadero, J de Armas, JAM Pérez, AA Juan International Transactions in Operational Research, 2018 | 45 | 2018 |
| GVNS for a real-world rich vehicle routing problem with time windows J de Armas, B Melián-Batista, JA Moreno-Pérez, J Brito Engineering Applications of Artificial Intelligence 42, 45-56, 2015 | 38 | 2015 |
| Combining variable neighborhood search with simulation for the inventory routing problem with stochastic demands and stock-outs A Gruler, J Panadero, J de Armas, JAM Pérez, AA Juan Computers & Industrial Engineering 123, 278-288, 2018 | 30 | 2018 |
| A hybrid GRASP-VNS for ship routing and scheduling problem with discretized time windows J de Armas, E Lalla-Ruiz, C Expósito-Izquierdo, D Landa-Silva, ... Engineering Applications of Artificial Intelligence 45, 350-360, 2015 | 27 | 2015 |
| Metaheuristics in telecommunication systems: network design, routing, and allocation problems SA Fernandez, AA Juan, J de Armas Adrián, DG e Silva, DR Terrén IEEE Systems Journal 12 (4), 3948-3957, 2018 | 24 | 2018 |
| Optimisation of a multi-objective two-dimensional strip packing problem based on evolutionary algorithms J de Armas, C Leon, G Miranda, C Segura International Journal of Production Research 48 (7), 2011-2028, 2010 | 24 | 2010 |
| Hyperheuristic encoding scheme for multi-objective guillotine cutting problems J de Armas, G Miranda, C León Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 18 | 2011 |
| Determinism Through Path Diversity: Why Packet Replication Makes Sense J de Armas, P Tuset, T Chang, F Adelantado, T Watteyne, X Vilajosana International Conference on Intelligent Networking and Collaborative Systems …, 2016 | 15 | 2016 |
| Benefits of robust multiobjective optimization for flexible automotive assembly line balancing M Chica, J Bautista, J de Armas Flexible Services and Manufacturing Journal, 1-29, 2018 | 14 | 2018 |
| Using simheuristics to promote horizontal collaboration in stochastic city logistics CL Quintero-Araujo, A Gruler, AA Juan, J de Armas, H Ramalhinho Progress in Artificial Intelligence 6 (4), 275-284, 2017 | 14 | 2017 |
| Constrained dynamic vehicle routing problems with time windows J de Armas, B Melián-Batista Soft Computing 19 (9), 2481-2498, 2015 | 14 | 2015 |
| Improving the efficiency of a best-first bottom-up approach for the Constrained 2D Cutting Problem J de Armas, G Miranda, C León European journal of operational research 219 (2), 201-213, 2012 | 12* | 2012 |
| A multi-start randomized heuristic for real-life crew rostering problems in airlines with work-balancing goals J de Armas, L Cadarso, AA Juan, J Faulin Annals of Operations Research 258 (2), 825-848, 2017 | 11 | 2017 |
| Multi-leader migrating birds optimisation: a novel nature-inspired metaheuristic for combinatorial problems E Lalla-Ruiz, JD Armas, C Expósito-Izquierdo, B Melián-Batista, ... International Journal of Bio-Inspired Computation 10 (2), 89-98, 2017 | 11* | 2017 |
| Statistical and machine learning approaches for the minimization of trigger errors in parametric earthquake catastrophe bonds L Calvet, M Lopeman, J de Armas, G Franco, AA Juan SORT-Statistics and Operations Research Transactions 1 (2), 373-392, 2017 | 10* | 2017 |
Belén MeliánUniversidad de La LagunaVahvistettu sähköpostiosoite verkkotunnuksessa ull.edu.es
