| A reference vector guided evolutionary algorithm for many-objective optimization R Cheng, Y Jin, M Olhofer, B Sendhoff IEEE Transactions on Evolutionary Computation 20 (5), 773-791, 2016 | 1122 | 2016 |
| A framework for evolutionary optimization with approximate fitness functions Y Jin, M Olhofer, B Sendhoff IEEE Transactions on evolutionary computation 6 (5), 481-494, 2002 | 773 | 2002 |
| Dynamic weighted aggregation for evolutionary multi-objective optimization: Why does it work and how Y Jin, M Olhofer, B Sendhoff Proceedings of the genetic and evolutionary computation conference, 1042-1049, 2001 | 339 | 2001 |
| Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms K Foli, T Okabe, M Olhofer, Y Jin, B Sendhoff International Journal of Heat and Mass Transfer 49 (5-6), 1090-1099, 2006 | 286 | 2006 |
| On Evolutionary Optimization with Approximate Fitness Functions. Y Jin, M Olhofer, B Sendhoff Gecco, 786-793, 2000 | 226 | 2000 |
| Test problems for large-scale multiobjective and many-objective optimization R Cheng, Y Jin, M Olhofer IEEE transactions on cybernetics 47 (12), 4108-4121, 2016 | 220 | 2016 |
| On test functions for evolutionary multi-objective optimization T Okabe, Y Jin, M Olhofer, B Sendhoff Parallel Problem Solving from Nature-PPSN VIII: 8th International Conference …, 2004 | 160 | 2004 |
| Managing approximate models in evolutionary aerodynamic design optimization Y Jin, M Olhofer, B Sendhoff Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No …, 2001 | 138 | 2001 |
| A mini-review on preference modeling and articulation in multi-objective optimization: current status and challenges H Wang, M Olhofer, Y Jin Complex & Intelligent Systems 3, 233-245, 2017 | 114 | 2017 |
| Evolutionary many-objective optimization of hybrid electric vehicle control: From general optimization to preference articulation R Cheng, T Rodemann, M Fischer, M Olhofer, Y Jin IEEE Transactions on Emerging Topics in Computational Intelligence 1 (2), 97-111, 2017 | 108 | 2017 |
| Advanced High Turning Compressor Airfoils for Low Reynolds Number Condition—Part I: Design and Optimization T Sonoda, Y Yamaguchi, T Arima, M Olhofer, B Sendhoff, HA Schreiber J. Turbomach. 126 (3), 350-359, 2004 | 105 | 2004 |
| Voronoi-based estimation of distribution algorithm for multi-objective optimization T Okabe, Y Jin, B Sendoff, M Olhofer Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004 | 98 | 2004 |
| Adaptive encoding for aerodynamic shape optimization using evolution strategies M Olhofer, Y Jin, B Sendhoff Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No …, 2001 | 92 | 2001 |
| Kriging-assisted topology optimization of crash structures E Raponi, M Bujny, M Olhofer, N Aulig, S Boria, F Duddeck Computer Methods in Applied Mechanics and Engineering 348, 730-752, 2019 | 73 | 2019 |
| A study of advanced high-loaded transonic turbine airfoils T Sonoda, T Arima, M Olhofer, B Sendhoff, F Kost, PA Giess | 73 | 2006 |
| A study of advanced high-loaded transonic turbine airfoils T Sonoda, T Arima, M Olhofer, B Sendhoff, F Kost, PA Giess | 73 | 2006 |
| An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization X Wang, Y Jin, S Schmitt, M Olhofer Information Sciences 519, 317-331, 2020 | 62 | 2020 |
| Optimization of a stator blade used in a transonic compressor cascade with evolution strategies M Olhofer, T Arima, T Sonoda, B Sendhoff Adaptive Computing in Design and Manufacture, 45-54, 2000 | 52 | 2000 |
| Isoxazole derivatives as FXR agonists and methods of use thereof YS Or, R Shen, X Xing, B Granger, B Wang, J Ma, J He, Y He, J Long, ... US Patent 10,080,742, 2018 | 47* | 2018 |
| Learning fluid flows T Georgiou, S Schmitt, M Olhofer, Y Liu, T Bäck, M Lew 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 47 | 2018 |
