Follow
Olhofer
Olhofer
Honda Research Institute Europe
Verified email at honda-ri.de
Title
Cited by
Cited by
Year
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
14052016
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
8102002
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
3582001
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
3072016
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
2952006
On Evolutionary Optimization with Approximate Fitness Functions.
Y Jin, M Olhofer, B Sendhoff
Gecco, 786-793, 2000
2392000
On test functions for evolutionary multi-objective optimization
T Okabe, Y Jin, M Olhofer, B Sendhoff
International Conference on Parallel Problem Solving from Nature, 792-802, 2004
1652004
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
1432017
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
1432001
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
1232017
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
1162004
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
1042020
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
1012004
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
972019
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
952001
Recent advances in Bayesian optimization
X Wang, Y Jin, S Schmitt, M Olhofer
ACM Computing Surveys 55 (13s), 1-36, 2023
802023
A study of advanced high-loaded transonic turbine airfoils
T Sonoda, T Arima, M Olhofer, B Sendhoff, F Kost, PA Giess
792006
Optimisation of a stator blade used in a transonic compressor cascade with evolution strategies
M Olhofer, B Sendhoff, T Arima, T Sonoda
Evolutionary Design and Manufacture: Selected Papers from ACDM’00, 45-54, 2000
552000
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
532018
A review: Prognostics and health management in automotive and aerospace
DV Nguyen, M Kefalas, K Yang, A Apostolidis, M Olhofer, S Limmer, ...
International Journal of Prognostics and Health Management 10 (2), 35, 2019
522019
The system can't perform the operation now. Try again later.
Articles 1–20