| Metaheuristics in water, geotechnical and transport engineering XS Yang, AH Gandomi, S Talatahari, AH Alavi Newnes, 2012 | 174 | 2012 |
| Pity beetle algorithm–a new metaheuristic inspired by the behavior of bark beetles NA Kallioras, ND Lagaros, DN Avtzis Advances in Engineering Software 121, 147-166, 2018 | 107 | 2018 |
| Accelerated topology optimization by means of deep learning NA Kallioras, G Kazakis, ND Lagaros Structural and Multidisciplinary Optimization 62 (3), 1185-1212, 2020 | 94 | 2020 |
| DzAIℕ: Deep learning based generative design NA Kallioras, ND Lagaros Procedia Manufacturing 44, 591-598, 2020 | 55 | 2020 |
| Optimum layout design of onshore wind farms considering stochastic loading NA Kallioras, ND Lagaros, MG Karlaftis, P Pachy Advances in Engineering Software 88, 8-20, 2015 | 29 | 2015 |
| The mosaic of metaheuristic algorithms in structural optimization ND Lagaros, V Plevris, NA Kallioras Archives of Computational Methods in Engineering 29 (7), 5457-5492, 2022 | 19 | 2022 |
| An improved harmony search algorithm for emergency inspection scheduling NA Kallioras, ND Lagaros, MG Karlaftis Engineering Optimization 46 (11), 1570-1592, 2014 | 19 | 2014 |
| DL-SCALE: A novel deep learning-based model order upscaling scheme for solving topology optimization problems NA Kallioras, ND Lagaros Neural Computing and Applications 33, 7125-7144, 2021 | 16 | 2021 |
| Transit stop inspection and maintenance scheduling: A GPU accelerated metaheuristics approach NA Kallioras, K Kepaptsoglou, ND Lagaros Transportation Research Part C: Emerging Technologies 55, 246-260, 2015 | 16 | 2015 |
| MLGen: Generative Design Framework Based on Machine Learning and Topology Optimization NA Kallioras, ND Lagaros Applied Sciences 11 (24), 12044, 2021 | 14 | 2021 |
| Constraint handling techniques for metaheuristics: a state-of-the-art review and new variants ND Lagaros, M Kournoutos, NA Kallioras, AN Nordas Optimization and Engineering, 1-48, 2023 | 11 | 2023 |
| Deep Learning-Based Accuracy Upgrade of Reduced Order Models in Topology Optimization NA Kallioras, AN Nordas, ND Lagaros Applied Sciences 11 (24), 12005, 2021 | 10 | 2021 |
| DL-Scale: Deep Learning for model upgrading in topology optimization NA Kallioras, ND Lagaros Procedia Manufacturing 44, 433-440, 2020 | 5 | 2020 |
| A new metaheuristic inspired by bark beetles for solving engineering problems N Kallioras, NC Lagaros, D Avtzis Proceedings of the 11th international congress on mechanics, HSTAM 134, 2016 | 5 | 2016 |
| A real-time emergency inspection scheduling tool following a seismic event NA Kallioras, ND Lagaros Computational Methods in Earthquake Engineering: Volume 3, 405-418, 2017 | 3 | 2017 |
| Optimized Strengthening, Based on Concrete Jacketing for Minimum Eccentricity CC Mitropoulou, IA Naziris, NA Kallioras, ND Lagaros Frontiers in Built Environment, 48, 0 | 3 | |
| High performance optimization computing platform S Sotiropoulos, G Kazakis, N Kallioras, S Xynogalas, CC Mitropoulou, ... 14th WCCM-ECCOMAS Congress 2020 800, 2021 | 2 | 2021 |
| Automated optimal motion sequence of a 9-bar linkage M Matheou, NA Kallioras, ND Lagaros, MC Phocas Frontiers in Built Environment 6, 132, 2020 | 2 | 2020 |
| Motion sequence optimization of a planar structure M Matheou, NA Kallioras, ND Lagaros, MC Phocas Procedia Manufacturing 44, 310-317, 2020 | 2 | 2020 |
| Structural Optimization Computing Platform (SOCP) and SCIA Software CC Mitropoulou, G Kazakis, S Sotiropoulos, ND Lagaros, NA Kallioras Procedia Manufacturing 44, 410-416, 2020 | 2 | 2020 |
