
Stefan Menzel
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2020 – today
- 2020
- [c47]Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators. CEC 2020: 1-7 - [c46]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. CEC 2020: 1-8 - [c45]Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt:
Feature Visualization for 3D Point Cloud Autoencoders. IJCNN 2020: 1-9 - [c44]Ullah Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
:
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. IJCNN 2020: 1-9 - [c43]Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck:
On the Performance of Oversampling Techniques for Class Imbalance Problems. PAKDD (2) 2020: 84-96 - [c42]Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems. PPSN (2) 2020: 428-440 - [c41]Jiawen Kong, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck:
Improving Imbalanced Classification by Anomaly Detection. PPSN (1) 2020: 512-523 - [c40]Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances. PPSN (1) 2020: 583-596 - [c39]Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. SSCI 2020: 305-312 - [c38]Felix Lanfermann, Sebastian Schmitt, Stefan Menzel:
An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization. SSCI 2020: 934-941 - [c37]Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel:
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. SSCI 2020: 942-949 - [c36]Timo Friedrich, Patricia Wollstadt, Stefan Menzel:
The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction. SSCI 2020: 1460-1468 - [c35]Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt:
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. SSCI 2020: 1469-1477 - [c34]Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization. SSCI 2020: 2965-2974 - [c33]Lars Kammann, Stefan Menzel, Mario Botsch:
A Compact Patch-Based Representation for Technical Mesh Models. VMV 2020: 1-8 - [i6]Rodrigo Canaan, Xianbo Gao, Youjin Chung, Julian Togelius, Andy Nealen, Stefan Menzel:
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners. CoRR abs/2004.13291 (2020) - [i5]Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel:
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi. CoRR abs/2004.13710 (2020)
2010 – 2019
- 2019
- [j6]Ran Cheng
, Mohammad Nabi Omidvar
, Amir H. Gandomi
, Bernhard Sendhoff
, Stefan Menzel, Xin Yao
:
Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Trans. Evol. Comput. 23(5): 762-775 (2019) - [c32]Rodrigo Canaan, Julian Togelius, Andy Nealen, Stefan Menzel:
Diverse Agents for Ad-Hoc Cooperation in Hanabi. CoG 2019: 1-8 - [c31]Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck
:
Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks. ICDM Workshops 2019: 761-768 - [c30]Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
, Xin Yao, Zhao Xu, Patricia Wollstadt:
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. ICDM Workshops 2019: 785-792 - [c29]Stefan Menzel, Timo Friedrich:
Addressing Complex Engineering Systems: The Value Of Evolvability. SSCI 2019: 731-739 - [c28]Thiago Rios, Bernhard Sendhoff, Stefan Menzel, Thomas Bäck
, Bas van Stein
:
On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization. SSCI 2019: 791-798 - [c27]Sibghat Ullah
, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
:
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. SSCI 2019: 819-828 - [c26]Sneha Saha, Thiago Rios, Leandro L. Minku
, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel:
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. SSCI 2019: 858-866 - [c25]Thiago Rios, Patricia Wollstadt, Bas van Stein
, Thomas Bäck
, Zhao Xu, Bernhard Sendhoff, Stefan Menzel:
Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. SSCI 2019: 1367-1374 - [c24]Timo Friedrich, Stefan Menzel:
Standardization of Gram Matrix for Improved 3D Neural Style Transfer. SSCI 2019: 1375-1382 - [c23]Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Learning Transferable Variation Operators in a Continuous Genetic Algorithm. SSCI 2019: 2027-2033 - [c22]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. SSCI 2019: 2034-2041 - [c21]Jiawen Kong, Wojtek Kowalczyk, Duc Anh Nguyen, Thomas Bäck
, Stefan Menzel:
Hyperparameter Optimisation for Improving Classification under Class Imbalance. SSCI 2019: 3072-3078 - [i4]Rodrigo Canaan, Julian Togelius, Andy Nealen, Stefan Menzel:
Diverse Agents for Ad-Hoc Cooperation in Hanabi. CoRR abs/1907.03840 (2019) - [i3]Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
Competitive Co-evolution for Dynamic Constrained Optimisation. CoRR abs/1907.13529 (2019) - 2018
- [j5]Xiaofen Lu
, Stefan Menzel, Ke Tang
, Xin Yao
:
Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective. IEEE Trans. Evol. Comput. 22(2): 173-188 (2018) - [c20]Rodrigo Canaan, Stefan Menzel, Julian Togelius, Andy Nealen:
Towards Game-based Metrics for Computational Co-Creativity. CIG 2018: 1-8 - [c19]Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel:
Evolving Agents for the Hanabi 2018 CIG Competition. CIG 2018: 1-8 - [c18]Andreas Richter, Stefan Dresselhaus, Stefan Menzel, Mario Botsch:
Orthogonalization of linear representations for efficient evolutionary design optimization. GECCO 2018: 1356-1363 - [i2]Rodrigo Canaan, Stefan Menzel, Julian Togelius, Andy Nealen:
Towards Game-based Metrics for Computational Co-creativity. CoRR abs/1809.09762 (2018) - [i1]Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel:
Evolving Agents for the Hanabi 2018 CIG Competition. CoRR abs/1809.09764 (2018) - 2017
- [c17]Andreas Richter, Stefan Menzel, Mario Botsch:
Preference-guided adaptation of deformation representations for evolutionary design optimization. CEC 2017: 2110-2119 - [c16]Andreas Richter, Jascha Achenbach, Stefan Menzel, Mario Botsch:
Multi-objective Representation Setups for Deformation-Based Design Optimization. EMO 2017: 514-528 - 2016
- [j4]Daniel Sieger
, Sergius Gaulik, Jascha Achenbach, Stefan Menzel, Mario Botsch
:
Constrained space deformation techniques for design optimization. Comput. Aided Des. 72: 40-51 (2016) - [c15]Andreas Richter, Jascha Achenbach, Stefan Menzel, Mario Botsch:
Evolvability as a quality criterion for linear deformation representations in evolutionary optimization. CEC 2016: 901-910 - 2015
- [c14]Andreas Richter, Mario Botsch, Stefan Menzel:
Evolvability of representations in complex system engineering: A survey. CEC 2015: 1327-1335 - [p2]Martin Punke, Stefan Menzel, Boris Werthessen, Nicolaj C. Stache, Maximilian Höpfl:
Kamera-Hardware. Handbuch Fahrerassistenzsysteme 2015: 347-368 - 2014
- [j3]Daniel Sieger
, Stefan Menzel, Mario Botsch
:
RBF morphing techniques for simulation-based design optimization. Eng. Comput. 30(2): 161-174 (2014) - [c13]Timo Friedrich, Stefan Menzel:
A cascaded evolutionary multi-objective optimization for solving the unbiased universal electric motor family problem. IEEE Congress on Evolutionary Computation 2014: 3184-3191 - [c12]Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao:
The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution. SEAL 2014: 82-93 - 2013
- [j2]Minh Nghia Le, Yew-Soon Ong
, Stefan Menzel, Yaochu Jin
, Bernhard Sendhoff
:
Evolution by Adapting Surrogates. Evol. Comput. 21(2): 313-340 (2013) - 2012
- [c11]Minh Nghia Le, Yew-Soon Ong
, Stefan Menzel, Chun-Wei Seah, Bernhard Sendhoff
:
Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c10]Henry Lehmann, Stefan Menzel:
Evolvability as concept for the optimal design of free-form deformation control volumes. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c9]Lars Gräning, Stefan Menzel, Thomas Ramsay, Bernhard Sendhoff
:
Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization. ICGEC 2012: 417-420 - [c8]Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing:
Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. ICPRAM (2) 2012: 585-589 - [c7]Daniel Sieger
, Stefan Menzel, Mario Botsch:
High Quality Mesh Morphing Using Triharmonic Radial Basis Functions. IMR 2012: 1-15 - 2011
- [c6]Stefan Menzel:
Evolvable free-form deformation control volumes for evolutionary design optimization. IEEE Congress on Evolutionary Computation 2011: 1388-1395 - 2010
- [c5]Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing:
Finding correlations in multimodal data using decomposition approaches. ESANN 2010 - [c4]Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing:
Correlating Shape and Functional Properties Using Decomposition Approaches. FLAIRS Conference 2010
2000 – 2009
- 2008
- [j1]Lars Gräning, Stefan Menzel, Martina Hasenjäger
, Thomas Bihrer, Markus Olhofer, Bernhard Sendhoff
:
Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries. J. Math. Model. Algorithms 7(4): 329-350 (2008) - [c3]Zdravko Bozakov, Lars Gräning, Stephan Hasler, Heiko Wersing, Stefan Menzel:
Unsupervised extraction of design components for a 3D parts-based representation. IJCNN 2008: 2009-2016 - [p1]Stefan Menzel, Bernhard Sendhoff
:
Representing the Change - Free Form Deformation for Evolutionary Design Optimization. Evolutionary Computation in Practice 2008: 63-86 - 2007
- [c2]Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick:
Word Recognition with a Hierarchical Neural Network. NOLISP 2007: 142-151 - 2006
- [c1]Stefan Menzel, Markus Olhofer, Bernhard Sendhoff:
Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. PPSN 2006: 352-361
Coauthor Index

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last updated on 2021-01-15 20:51 CET by the dblp team
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