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
32 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
25 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 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
20 2022 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 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 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
11 2021 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 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 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 Engine calibration with surrogate-assisted bilevel evolutionary algorithm X Yu, Y Wang, L Zhu, D Filev, X Yao
IEEE Transactions on Cybernetics, 2023
4 2023 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 
Sandeep KulkarniMichigan State UniversityVerifisert e-postadresse på msu.edu
