| Bio-inspired computation: Where we stand and what's next J Del Ser, E Osaba, D Molina, XS Yang, S Salcedo-Sanz, D Camacho, ... Swarm and Evolutionary Computation 48, 220-250, 2019 | 581 | 2019 |
| An improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems E Osaba, XS Yang, F Diaz, P Lopez-Garcia, R Carballedo Engineering Applications of Artificial Intelligence 48, 59-71, 2016 | 357 | 2016 |
| A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems E Osaba, E Villar-Rodriguez, J Del Ser, AJ Nebro, D Molina, A LaTorre, ... Swarm and Evolutionary Computation 64, 100888, 2021 | 253 | 2021 |
| A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy E Osaba, XS Yang, F Diaz, E Onieva, AD Masegosa, A Perallos Soft Computing 21, 5295-5308, 2017 | 173 | 2017 |
| A hybrid method for short-term traffic congestion forecasting using genetic algorithms and cross entropy P Lopez-Garcia, E Onieva, E Osaba, AD Masegosa, A Perallos IEEE Transactions on Intelligent Transportation Systems 17 (2), 557-569, 2015 | 165 | 2015 |
| A Discrete and Improved Bat Algorithm for solving a medical goods distribution problem with pharmacological waste collection E Osaba, XS Yang, I Fister Jr, J Del Ser, P Lopez-Garcia, ... Swarm and Evolutionary Computation 44, 273-286, 2019 | 151 | 2019 |
| A prescription of methodological guidelines for comparing bio-inspired optimization algorithms A LaTorre, D Molina, E Osaba, J Poyatos, J Del Ser, F Herrera Swarm and Evolutionary Computation 67, 100973, 2021 | 146* | 2021 |
| Hierarchical fuzzy rule-based system optimized with genetic algorithms for short term traffic congestion prediction X Zhang, E Onieva, A Perallos, E Osaba, VCS Lee Transportation Research Part C: Emerging Technologies 43, 127-142, 2014 | 146 | 2014 |
| A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem E Osaba, J Del Ser, A Sadollah, MN Bilbao, D Camacho Applied Soft Computing 71, 277-290, 2018 | 119 | 2018 |
| Golden ball: a novel meta-heuristic to solve combinatorial optimization problems based on soccer concepts E Osaba, F Diaz Applied Intelligence 41 (1), 145-166, 2014 | 110 | 2014 |
| Evolutionary multitask optimization: a methodological overview, challenges, and future research directions E Osaba, J Del Ser, AD Martinez, A Hussain Cognitive Computation 14 (3), 927-954, 2022 | 71 | 2022 |
| Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics E Osaba, J Del Ser, D Camacho, MN Bilbao, XS Yang Applied Soft Computing 87, 106010, 2020 | 66 | 2020 |
| Bioinspired computational intelligence and transportation systems: A long road ahead J Del Ser, E Osaba, JJ Sanchez-Medina, I Fister IEEE Transactions on Intelligent Transportation Systems 21 (2), 466 - 495, 2020 | 64 | 2020 |
| Traveling salesman problem: a perspective review of recent research and new results with bio-inspired metaheuristics E Osaba, XS Yang, J Del Ser Nature-Inspired Computation and Swarm Intelligence, 135-164, 2020 | 60 | 2020 |
| Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems E Osaba, R Carballedo, F Diaz, E Onieva, AD Masegosa, A Perallos Neurocomputing 271, 2-8, 2018 | 60 | 2018 |
| Novelty search for global optimization I Fister, A Iglesias, A Galvez, J Del Ser, E Osaba, I Fister Jr, M Perc, ... Applied Mathematics and Computation 347, 865-881, 2019 | 59 | 2019 |
| Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics P Lopez-Garcia, AD Masegosa, E Osaba, E Onieva, A Perallos Applied Intelligence 49 (8), 2807-2822, 2019 | 53 | 2019 |
| An evolutionary discrete firefly algorithm with novel operators for solving the vehicle routing problem with time windows E Osaba, R Carballedo, XS Yang, F Diaz Nature-inspired computation in engineering, 21-41, 2016 | 52 | 2016 |
| Adaptive multifactorial evolutionary optimization for multitask reinforcement learning AD Martinez, J Del Ser, E Osaba, F Herrera IEEE Transactions on Evolutionary Computation 26 (2), 233-247, 2021 | 47 | 2021 |
| Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges AD Martinez, J Del Ser, E Villar-Rodriguez, E Osaba, J Poyatos, S Tabik, ... Information Fusion 67, 161-194, 2021 | 47 | 2021 |
Javier (Javi) Del SerTECNALIA, Universidad del País Vasco (UPV/EHU)Zweryfikowany adres z tecnalia.com
