| Parallel memetic structures F Caraffini, F Neri, G Iacca, A Mol Information Sciences 227, 60-82, 2013 | 113 | 2013 |
| Cluster-based population initialization for differential evolution frameworks I Poikolainen, F Neri, F Caraffini Information Sciences 297, 216-235, 2015 | 111 | 2015 |
| An analysis on separability for memetic computing automatic design F Caraffini, F Neri, L Picinali Information Sciences 265, 1-22, 2014 | 107 | 2014 |
| Infeasibility and structural bias in differential evolution F Caraffini, AV Kononova, D Corne Information Sciences 496, 161-179, 2019 | 103 | 2019 |
| Structural bias in population-based algorithms AV Kononova, DW Corne, P De Wilde, V Shneer, F Caraffini Information Sciences 298, 468-490, 2015 | 90 | 2015 |
| Multi-strategy coevolving aging particle optimization G Iacca, F Caraffini, F Neri International journal of neural systems 24 (01), 1450008, 2014 | 80 | 2014 |
| Multicriteria adaptive differential evolution for global numerical optimization J Cheng, G Zhang, F Caraffini, F Neri Integrated Computer-Aided Engineering 22 (2), 103-107, 2015 | 63 | 2015 |
| A CMA-ES super-fit scheme for the re-sampled inheritance search F Caraffini, G Iacca, F Neri, L Picinali, E Mininno 2013 IEEE congress on evolutionary computation, 1123-1130, 2013 | 59 | 2013 |
| Evolving deep learning convolutional neural networks for early COVID-19 detection in chest X-ray images M Khishe, F Caraffini, S Kuhn Mathematics 9 (9), 1002, 2021 | 55 | 2021 |
| Super-fit multicriteria adaptive differential evolution F Caraffini, F Neri, J Cheng, G Zhang, L Picinali, G Iacca, E Mininno 2013 IEEE congress on evolutionary computation, 1678-1685, 2013 | 55 | 2013 |
| HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain F Caraffini, F Neri, M Epitropakis Information Sciences, 2018 | 54 | 2018 |
| A product-centric data mining algorithm for targeted promotions R Moodley, F Chiclana, F Caraffini, J Carter Journal of Retailing and Consumer Services 54, 101940, 2020 | 47 | 2020 |
| Compact differential evolution light: high performance despite limited memory requirement and modest computational overhead G Iacca, F Caraffini, F Neri Journal of Computer Science and technology 27, 1056-1076, 2012 | 42 | 2012 |
| Large scale problems in practice: the effect of dimensionality on the interaction among variables F Caraffini, F Neri, G Iacca Applications of Evolutionary Computation: 20th European Conference …, 2017 | 41 | 2017 |
| Memory-saving memetic computing for path-following mobile robots G Iacca, F Caraffini, F Neri Applied Soft Computing 13 (4), 2003-2016, 2013 | 39 | 2013 |
| A Proposed VR Platform for Supporting Blended Learning Post COVID-19 S Colreavy-Donelly, A Ryan, S O’Connor, F Caraffini, S Kuhn, S Hasshu Education Sciences 12 (7), 435, 2022 | 37 | 2022 |
| Differential evolution outside the box AV Kononova, F Caraffini, T Bäck Information Sciences 581, 587-604, 2021 | 37 | 2021 |
| Re-sampled inheritance search: high performance despite the simplicity F Caraffini, F Neri, BN Passow, G Iacca Soft Computing 17 (12), 2235-2256, 2013 | 37 | 2013 |
| Application of uninorms to market basket analysis R Moodley, F Chiclana, F Caraffini, J Carter International Journal of Intelligent Systems 34 (1), 39-49, 2019 | 36 | 2019 |
| A differential evolution framework with ensemble of parameters and strategies and pool of local search algorithms G Iacca, F Neri, F Caraffini, PN Suganthan Applications of Evolutionary Computation: 17th European Conference …, 2014 | 32 | 2014 |
Ferrante NeriProfessor of Machine Learning and Artificial Intelligence, NICE group, University of Surreysurrey.ac.uk의 이메일 확인됨