| Constrained consensus-based optimization G Borghi, M Herty, L Pareschi SIAM Journal on Optimization 33 (1), 211-236, 2023 | 25 | 2023 |
| An adaptive consensus based method for multi-objective optimization with uniform Pareto front approximation G Borghi, M Herty, L Pareschi Applied Mathematics & Optimization 88 (2), 58, 2023 | 17 | 2023 |
| A consensus-based algorithm for multi-objective optimization and its mean-field description G Borghi, M Herty, L Pareschi 2022 IEEE 61st Conference on Decision and Control (CDC), 4131-4136, 2022 | 15 | 2022 |
| Binary interaction methods for high dimensional global optimization and machine learning A Benfenati, G Borghi, L Pareschi Applied Mathematics & Optimization 86 (1), 9, 2022 | 15 | 2022 |
| Kinetic description and convergence analysis of genetic algorithms for global optimization G Borghi, L Pareschi arXiv preprint arXiv:2310.08562, 2023 | 5 | 2023 |
| Consensus based optimization with memory effects: random selection and applications G Borghi, S Grassi, L Pareschi Chaos, Solitons & Fractals 174, 113859, 2023 | 5 | 2023 |
| Repulsion dynamics for uniform Pareto front approximation in multi‐objective optimization problems G Borghi PAMM 23 (1), e202200285, 2023 | 2 | 2023 |
| Mean-field theory for consensus-based optimization and extensions to constrained and multi-objective problems G Borghi RWTH Aachen University, 2024 | | 2024 |
| Model predictive control strategies using consensus-based optimization G Borghi, M Herty arXiv preprint arXiv:2312.13085, 2023 | | 2023 |
Lorenzo PareschiHeriot-Watt University, Edinburgh and University of Ferrara在 hw.ac.uk 的电子邮件经过验证
