| Internal combustion engine calibration using optimization algorithms X Yu, L Zhu, Y Wang, D Filev, X Yao Applied Energy 305, 117894, 2022 | 35 | 2022 |
| Handling multiple scenarios in evolutionary multiobjective numerical optimization K Deb, L Zhu, S Kulkarni IEEE Transactions on Evolutionary Computation 22 (6), 920-933, 2017 | 33 | 2017 |
| Multi-scenario optimization using multi-criterion methods: A case study on byzantine agreement problem L Zhu, K Deb, S Kulkarni 2014 IEEE Congress on Evolutionary Computation (CEC), 2601-2608, 2014 | 24 | 2014 |
| Constrained surrogate-based engine calibration using lower confidence bound A Pal, L Zhu, Y Wang, GG Zhu IEEE/ASME Transactions on Mechatronics 26 (6), 3116-3127, 2021 | 23 | 2021 |
| Multi-objective stochastic Bayesian optimization for iterative engine calibration A Pal, L Zhu, Y Wang, GG Zhu 2020 American Control Conference (ACC), 4893-4898, 2020 | 22 | 2020 |
| Interpretable-AI policies using evolutionary nonlinear decision trees for discrete action systems Y Dhebar, K Deb, S Nageshrao, L Zhu, D Filev arXiv preprint arXiv:2009.09521, 2020 | 21 | 2020 |
| Multi-scenario, multi-objective optimization using evolutionary algorithms: Initial results K Deb, L Zhu, S Kulkarni 2015 IEEE Congress on Evolutionary Computation (CEC), 1877-1884, 2015 | 20 | 2015 |
| Toward interpretable-AI policies using evolutionary nonlinear decision trees for discrete-action systems Y Dhebar, K Deb, S Nageshrao, L Zhu, D Filev IEEE Transactions on Cybernetics 54 (1), 50-62, 2022 | 19 | 2022 |
| Domination-based ordinal regression for expensive multi-objective optimization X Yu, X Yao, Y Wang, L Zhu, D Filev 2019 IEEE symposium series on computational intelligence (SSCI), 2058-2065, 2019 | 19 | 2019 |
| Multi-objective surrogate-assisted stochastic optimization for engine calibration A Pal, Y Wang, L Zhu, GG Zhu Journal of Dynamic Systems, Measurement, and Control 143 (10), 101004, 2021 | 17 | 2021 |
| Engine calibration using global optimization methods with customization L Zhu, Y Wang, A Pal, G Zhu SAE Technical Paper, 2020 | 13 | 2020 |
| Interpretable AI agent through nonlinear decision trees for lane change problem A Ghosh, Y Dhebar, R Guha, K Deb, S Nageshrao, L Zhu, E Tseng, ... 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-08, 2021 | 10 | 2021 |
| A multi-objective optimization framework for online ridesharing systems H Javidi, D Simon, L Zhu, Y Wang 2021 IEEE international conference on big data and smart computing (BigComp …, 2021 | 10 | 2021 |
| Engine calibration optimization based on its surrogate models A Pal, Y Wang, L Zhu, GG Zhu Dynamic Systems and Control Conference 59155, V002T12A002, 2019 | 10 | 2019 |
| Dynamic System Identification for a Nonlinear Vehicle Model Using -Markov Cover under Different Operational Conditions A Pal, W Wei, L Zhu, Y Wang, G Zhu 2021 American control conference (ACC), 2830-2835, 2021 | 8 | 2021 |
| Data-driven model-based calibration for optimizing electrically boosted diesel engine performance A Pal, L Zhu, Y Wang, G Zhu International Journal of Engine Research 24 (4), 1515-1529, 2023 | 5 | 2023 |
| Occlusion Handling for Industrial Robots L Zhu, M Menon, M Santillo, G Linkowski 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 5 | 2020 |
| Experience-Based Evolutionary Algorithms for Expensive Optimization X Yu, Y Wang, L Zhu, D Filev, X Yao arXiv preprint arXiv:2304.04166, 2023 | 4 | 2023 |
| Adaptive Design of Experiments for Automotive Engine Applications Using Concurrent Bayesian Optimization L Zhu, Y Wang, A Pal, GG Zhu ASME Letters in Dynamic Systems and Control 2 (3), 031005, 2022 | 4 | 2022 |
| Adaptive perception by vehicle sensors J Lu, TM Feldkamp, S Hong, L Zhu, M McConnell US Patent App. 17/068,151, 2022 | 4 | 2022 |
Sandeep KulkarniMichigan State University確認したメール アドレス: msu.edu
