Jesica de Armas
Cited by
Cited by
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
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
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
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, 1161-1176, 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
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
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
GVNS for a real-world rich vehicle routing problem with time windows
J De Armas, B Melian-Batista, JA Moreno-Perez, J Brito
Engineering Applications of Artificial Intelligence 42, 45-56, 2015
Similarity in metaheuristics: A gentle step towards a comparison methodology
J de Armas, E Lalla-Ruiz, SL Tilahun, S Voß
Natural Computing 21 (2), 265-287, 2022
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
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
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, 275-284, 2017
Parallel machine, capacitated lot-sizing and scheduling for the pipe-insulation industry
J de Armas, M Laguna
International Journal of Production Research, 2019
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
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
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
Solving large-scale time capacitated arc routing problems: From real-time heuristics to metaheuristics
J de Armas, P Keenan, AA Juan, S McGarraghy
Annals of Operations Research 273, 135-162, 2019
Constrained dynamic vehicle routing problems with time windows
J de Armas, B Melián-Batista
Soft Computing 19, 2481-2498, 2015
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
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
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