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Olhofer
Olhofer
Honda Research Institute Europe
在 honda-ri.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
15612016
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
8352002
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
3752001
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
3382016
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
3032006
On Evolutionary Optimization with Approximate Fitness Functions.
Y Jin, M Olhofer, B Sendhoff
Gecco, 786-793, 2000
2492000
Recent advances in Bayesian optimization
X Wang, Y Jin, S Schmitt, M Olhofer
ACM Computing Surveys 55 (13s), 1-36, 2023
1942023
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
1672004
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
1552017
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
1492001
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
1322017
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
1202020
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
1192004
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
1072019
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
1002004
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
972001
A study of advanced high-loaded transonic turbine airfoils
T Sonoda, T Arima, M Olhofer, B Sendhoff, F Kost, PA Giess
802006
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
582019
Benchmark problems and performance indicators for search of knee points in multiobjective optimization
G Yu, Y Jin, M Olhofer
IEEE transactions on cybernetics 50 (8), 3531-3544, 2019
572019
Evolutionary black-box topology optimization: Challenges and promises
D Guirguis, N Aulig, R Picelli, B Zhu, Y Zhou, W Vicente, F Iorio, M Olhofer, ...
IEEE Transactions on Evolutionary Computation 24 (4), 613-633, 2019
562019
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