Bernhard Sendhoff

197 papers A* 1A 26B 48C 14Misc 1Journal 53Unranked 44

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evolutionary Computation as Natural Generative AI. CoRR Yaxin Shi, Abhishek Gupta, Ying Wu, Melvin Wong, Ivor W. Tsang, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Yaqing Hou, Yew-Soon Ong
2025	J	`jnl`	Learning to Expand/Contract Pareto Sets in Dynamic Multiobjective Optimization With a Changing Number of Objectives. IEEE Trans. Evol. Comput. Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2025	J	`jnl`	Understanding Collective Social Behavior in OSS Communities: A Co-editing Network Analysis of Activity Cascades. CoRR Lisi Qarkaxhija, Maximilian Carparo, Stefan Menzel, Bernhard Sendhoff, Ingo Scholtes
2024	J	`jnl`	Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives. IEEE Trans. Emerg. Top. Comput. Intell. Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2024	A	`conf`	To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions. IROS Daniel Tanneberg, Felix Ocker, Stephan Hasler, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Heiko Wersing, Bernhard Sendhoff, Michael Gienger
2024	J	`jnl`	To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions. CoRR Daniel Tanneberg, Felix Ocker, Stephan Hasler, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Heiko Wersing, Bernhard Sendhoff, Michael Gienger
2023	—	`conf`	A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. GECCO Companion Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2023	J	`jnl`	Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications. IEEE Trans. Evol. Comput. Xingyi Zhang, Ran Cheng, Yaochu Jin, Bernhard Sendhoff
2023	J	`jnl`	Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives. CoRR Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2023	—	`conf`	Large Language and Text-to-3D Models for Engineering Design Optimization. SSCI Thiago Rios, Stefan Menzel, Bernhard Sendhoff
2023	J	`jnl`	Large Language and Text-to-3D Models for Engineering Design Optimization. CoRR Thiago Rios, Stefan Menzel, Bernhard Sendhoff
2022	J	`jnl`	A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2022	—	`conf`	A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization. PPSN (1) Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2022	J	`jnl`	An Efficient Contesting Procedure for AutoML Optimization. IEEE Access Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2022	B	`conf`	Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. CEC Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2022	J	`jnl`	Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software. IEEE Trans. Evol. Comput. Thomas Bäck, Carola Doerr, Bernhard Sendhoff, Thomas Stützle
2022	J	`jnl`	Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation. IEEE Trans. Evol. Comput. Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2022	B	`conf`	Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. IJCNN Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao
2022	B	`conf`	Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer. IJCNN Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel
2022	A	`conf`	What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis. GECCO Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2022	—	`conf`	Willing to Revise? Confidence and Recommendation Adoption in AI-Assisted Image Recognition. HHAI Leonore Röseler, Ingo Scholtes, Bernhard Sendhoff, Anikó Hannák
2021	J	`jnl`	A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. CoRR Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2021	—	`conf`	A hybrid local search framework for the dynamic capacitated arc routing problem. GECCO Companion Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2021	—	`conf`	A new acquisition function for robust Bayesian optimization of unconstrained problems. GECCO Companion Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2021	B	`conf`	Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. IJCNN Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2021	—	`conf`	Efficient AutoML via Combinational Sampling. SSCI Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2021	—	`conf`	Exploiting Generative Models for Performance Predictions of 3D Car Designs. SSCI Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021	B	`conf`	Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. CEC Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel
2021	B	`conf`	Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. CEC Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021	B	`conf`	Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. DSAA Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, Thomas Bäck
2021	—	`conf`	Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization. 3DV Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021	—	`conf`	Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems. SSCI Stephen Friess, Peter Tino, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2020	—	`conf`	Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. SSCI Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel
2020	B	`conf`	Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. CEC Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2020	—	`conf`	Cooperative Intelligence - A Humane Perspective. ICHMS Bernhard Sendhoff, Heiko Wersing
2020	B	`conf`	Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. IJCNN Ullah Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2020	—	`conf`	Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization. SSCI Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2020	B	`conf`	Feature Visualization for 3D Point Cloud Autoencoders. IJCNN Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt
2020	—	`conf`	Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances. PPSN (1) Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2020	—	`conf`	Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. SSCI Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt
2020	B	`conf`	Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators. CEC Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2020	—	`conf`	Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems. PPSN (2) Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2019	—	`conf`	An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. SSCI Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2019	—	`conf`	Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. ICDM Workshops Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt
2019	—	`conf`	Learning Transferable Variation Operators in a Continuous Genetic Algorithm. SSCI Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2019	—	`conf`	On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization. SSCI Thiago Rios, Bernhard Sendhoff, Stefan Menzel, Thomas Bäck, Bas van Stein
2019	—	`conf`	Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. SSCI Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
2019	—	`conf`	Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. SSCI Thiago Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
2019	J	`jnl`	Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Trans. Evol. Comput. Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao
2019	—	`conf`	When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. SSCI Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2017	J	`jnl`	Simplify Your Covariance Matrix Adaptation Evolution Strategy. IEEE Trans. Evol. Comput. Hans-Georg Beyer, Bernhard Sendhoff
2017	J	`jnl`	Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2017	J	`jnl`	Toward a Steady-State Analysis of an Evolution Strategy on a Robust Optimization Problem With Noise-Induced Multimodality. IEEE Trans. Evol. Comput. Hans-Georg Beyer, Bernhard Sendhoff
2016	J	`jnl`	A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2016	J	`jnl`	Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization. Soft Comput. Kaname Narukawa, Yu Setoguchi, Yuki Tanigaki, Markus Olhofer, Bernhard Sendhoff, Hisao Ishibuchi
2016	J	`jnl`	Target shape design optimization by evolving B-splines with cooperative coevolution. Appl. Soft Comput. Zhenyu Yang, Bernhard Sendhoff, Ke Tang, Xin Yao
2015	J	`jnl`	A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Trans. Evol. Comput. Ran Cheng, Yaochu Jin, Kaname Narukawa, Bernhard Sendhoff
2015	J	`jnl`	Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. IEEE Trans. Evol. Comput. Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
2014	J	`jnl`	A new self-adaptation scheme for differential evolution. Neurocomputing Xiaofen Lu, Ke Tang, Bernhard Sendhoff, Xin Yao
2014	J	`jnl`	A review of concurrent optimisation methods. Int. J. Bio Inspired Comput. Xiaofen Lu, Ke Tang, Bernhard Sendhoff, Xin Yao
2014	J	`jnl`	Shape mining: A holistic data mining approach for engineering design. Adv. Eng. Informatics Lars Gräning, Bernhard Sendhoff
2014	B	`conf`	What are dynamic optimization problems? IEEE Congress on Evolutionary Computation Haobo Fu, Peter R. Lewis, Bernhard Sendhoff, Ke Tang, Xin Yao
2013	J	`jnl`	A framework for finding robust optimal solutions over time. Memetic Comput. Yaochu Jin, Ke Tang, Xin Yu, Bernhard Sendhoff, Xin Yao
2013	J	`jnl`	An examination of different fitness and novelty based selection methods for the evolution of neural networks. Soft Comput. Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter, Bernhard Sendhoff
2013	J	`jnl`	Evolution by Adapting Surrogates. Evol. Comput. Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff
2013	B	`conf`	Finding Robust Solutions to Dynamic Optimization Problems. EvoApplications Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
2013	C	`conf`	Learning-Guided Exploration in Airfoil Optimization. IDEAL Edgar Reehuis, Markus Olhofer, Bernhard Sendhoff, Thomas Bäck
2013	A	`conf`	Novelty and interestingness measures for design-space exploration. GECCO Edgar Reehuis, Markus Olhofer, Michael Emmerich, Bernhard Sendhoff, Thomas Bäck
2012	J	`jnl`	A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design. IEEE Comput. Intell. Mag. Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2012	—	`conf`	Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization. ICGEC Lars Gräning, Stefan Menzel, Thomas Ramsay, Bernhard Sendhoff
2012	B	`conf`	Characterizing environmental changes in Robust Optimization Over Time. IEEE Congress on Evolutionary Computation Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
2012	J	`jnl`	Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration. Artif. Life Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
2012	B	`conf`	Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems. IEEE Congress on Evolutionary Computation Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Chun-Wei Seah, Bernhard Sendhoff
2012	C	`conf`	Quantitative analysis of redundancy in evolution of developmental systems. CIBCB Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
2011	—	`conf`	An animat's cell doctrine. ECAL Lisa Schramm, Bernhard Sendhoff
2011	J	`jnl`	Autonomous experimental design optimization of a flapping wing. Genet. Program. Evolvable Mach. Markus Olhofer, Dilyana Yankulova, Bernhard Sendhoff
2011	A*	`conf`	Cross-Ball: A new morphogenetic self-reconfigurable modular robot. ICRA Yan Meng, Yuyang Zhang, Abhay Sampath, Yaochu Jin, Bernhard Sendhoff
2011	A	`conf`	Evolution of neural symmetry and its coupled alignment to body plan morphology. GECCO Ben Jones, Andrea Soltoggio, Bernhard Sendhoff, Xin Yao
2011	B	`conf`	Evolvability of graph- and Vector Field Embryogeny representations. IEEE Congress on Evolutionary Computation Till Steiner, Bernhard Sendhoff
2011	C	`conf`	Redundancy creates opportunity in developmental representations. ALIFE Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
2010	C	`conf`	Analysis of Gene Regulatory Network Motifs in Evolutionary Development of Multicellular Organisms. ALIFE Lisa Schramm, Vander Valente Martins, Yaochu Jin, Bernhard Sendhoff
2010	—	`conf`	Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. SAB Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao
2010	A	`conf`	Evolving heterochrony for cellular differentiation using vector field embryogeny. GECCO Till Steiner, Yaochu Jin, Bernhard Sendhoff
2010	J	`jnl`	Generalizing Surrogate-Assisted Evolutionary Computation. IEEE Trans. Evol. Comput. Dudy Lim, Yaochu Jin, Yew-Soon Ong, Bernhard Sendhoff
2009	J	`jnl`	A systems approach to evolutionary multiobjective structural optimization and beyond. IEEE Comput. Intell. Mag. Yaochu Jin, Bernhard Sendhoff
2009	J	`jnl`	Corrections to "Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies" [May 08 397-415]. IEEE Trans. Syst. Man Cybern. Part C Yaochu Jin, Bernhard Sendhoff
2009	—	`ch.`	Creating Brain-Like Intelligence. Creating Brain-Like Intelligence Bernhard Sendhoff, Edgar Körner, Olaf Sporns
2009	—	`book`	Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems Creating Brain-Like Intelligence Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge J. Ritter, Kenji Doya
2009	—	`conf`	Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats. ECAL (1) Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
2009	—	`conf`	Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations. MCDM Yaochu Jin, Robin Gruna, Ingo Paenke, Bernhard Sendhoff
2009	—	`ch.`	Fuzzy Logic in Evolving in silicoOscillatory Dynamics for Gene Regulatory Networks. Fuzzy Systems in Bioinformatics and Computational Biology Yaochu Jin, Bernhard Sendhoff
2009	B	`conf`	Global shape with morphogen gradients and motile polarized cells. IEEE Congress on Evolutionary Computation Till Steiner, Jens Trommler, Martin Brenn, Yaochu Jin, Bernhard Sendhoff
2009	C	`conf`	Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks. ALIFE Yaochu Jin, Yan Meng, Bernhard Sendhoff
2009	C	`conf`	Interaction Detection in Aerodynamic Design Data. IDEAL Lars Gräning, Markus Olhofer, Bernhard Sendhoff
2009	J	`jnl`	Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memetic Comput. Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2009	J	`jnl`	Pareto analysis of evolutionary and learning systems. Frontiers Comput. Sci. China Yaochu Jin, Robin Gruna, Bernhard Sendhoff
2009	—	`conf`	The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism. ECAL (1) Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao
2009	J	`jnl`	The Influence of Learning on Evolution: A Mathematical Framework. Artif. Life Ingo Paenke, Tadeusz J. Kawecki, Bernhard Sendhoff
2008	—	`conf`	A Gene Regulatory Model for the Development of Primitive Nervous Systems. ICONIP (1) Yaochu Jin, Lisa Schramm, Bernhard Sendhoff
2008	A	`conf`	A cellular model for the evolutionary development of lightweight material with an inner structure. GECCO Till Steiner, Yaochu Jin, Bernhard Sendhoff
2008	B	`conf`	Combination of EDA and DE for continuous biobjective optimization. IEEE Congress on Evolutionary Computation Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff
2008	A	`conf`	Covariance Matrix Adaptation Revisited - The CMSA Evolution Strategy -. PPSN Hans-Georg Beyer, Bernhard Sendhoff
2008	—	`conf`	Evolution of Neural Organization in a Hydra-Like Animat. ICONIP (1) Ben Jones, Yaochu Jin, Xin Yao, Bernhard Sendhoff
2008	—	`conf`	Evolutionary Optimization with Dynamic Fidelity Computational Models. ICIC (2) Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2008	C	`conf`	Evolving Functional Symmetry in a Three Dimensional Model of an Elongated Organism. ALIFE Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao
2008	B	`conf`	Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs. IEEE Congress on Evolutionary Computation Yaochu Jin, Bernhard Sendhoff
2008	—	`ch.`	Genesis of Organic Computing Systems: Coupling Evolution and Learning. Organic Computing Christian Igel, Bernhard Sendhoff
2008	J	`jnl`	Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries. J. Math. Model. Algorithms Lars Gräning, Stefan Menzel, Martina Hasenjäger, Thomas Bihrer, Markus Olhofer, Bernhard Sendhoff
2008	—	`ch.`	Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms. Multiobjective Problem Solving from Nature Yaochu Jin, Aimin Zhou, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
2008	J	`jnl`	Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies. IEEE Trans. Syst. Man Cybern. Part C Yaochu Jin, Bernhard Sendhoff
2008	B	`conf`	Prediction of convergence dynamics of design performance using differential recurrent neural networks. IJCNN Yi Cao, Yaochu Jin, Michal Kowalczykiewicz, Bernhard Sendhoff
2008	—	`ch.`	Representing the Change - Free Form Deformation for Evolutionary Design Optimization. Evolutionary Computation in Practice Stefan Menzel, Bernhard Sendhoff
2008	—	`ch.`	Rule Extraction from Compact Pareto-optimal Neural Networks. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases Yaochu Jin, Bernhard Sendhoff, Edgar Körner
2008	B	`conf`	Toward a gene regulatory network model for evolving chemotaxis behavior. IEEE Congress on Evolutionary Computation Neale Samways, Yaochu Jin, Xin Yao, Bernhard Sendhoff
2007	A	`conf`	A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. GECCO Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2007	B	`conf`	Adaptivemodelling strategy for continuous multi-objective optimization. IEEE Congress on Evolutionary Computation Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff
2007	J	`jnl`	Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. Future Gener. Comput. Syst. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee
2007	B	`conf`	Emergence of feedback in artificial gene regulatory networks. IEEE Congress on Evolutionary Computation Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
2007	J	`jnl`	Emergent Technology Technical Committee [Society Briefs]. IEEE Comput. Intell. Mag. Bernhard Sendhoff
2007	—	`conf`	Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample. FOCI Hans-Georg Beyer, Bernhard Sendhoff
2007	—	`conf`	Evolutionary Multi-objective Optimization of Spiking Neural Networks. ICANN (1) Yaochu Jin, Ruojing Wen, Bernhard Sendhoff
2007	A	`conf`	Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. GECCO Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang
2007	—	`ch.`	Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. Evolutionary Computation in Dynamic and Uncertain Environments Lars Gräning, Yaochu Jin, Bernhard Sendhoff
2007	C	`conf`	Knowledge Extraction from Unstructured Surface Meshes. IDEAL Lars Gräning, Markus Olhofer, Bernhard Sendhoff
2007	—	`conf`	On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments. ECAL Ingo Paenke, Bernhard Sendhoff, Jonathan E. Rowe, Chrisantha Fernando
2007	C	`conf`	Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. EMO Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
2007	B	`conf`	Target shape design optimization by evolving splines. IEEE Congress on Evolutionary Computation Pan Zhang, Xin Yao, Lei Jia, Bernhard Sendhoff, Thorsten Schnier
2007	—	`conf`	Word Recognition with a Hierarchical Neural Network. NOLISP Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick
2006	B	`conf`	Alleviating Catastrophic Forgetting via Multi-Objective Learning. IJCNN Yaochu Jin, Bernhard Sendhoff
2006	B	`conf`	Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion. IEEE Congress on Evolutionary Computation Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
2006	A	`conf`	Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. PPSN Stefan Menzel, Markus Olhofer, Bernhard Sendhoff
2006	A	`conf`	Environments Conducive to Evolution of Modularity. PPSN Vineet R. Khare, Bernhard Sendhoff, Xin Yao
2006	B	`conf`	Evolution Strategies for Robust Optimization. IEEE Congress on Evolutionary Computation Hans-Georg Beyer, Bernhard Sendhoff
2006	J	`jnl`	Evolutionary computation benchmarking repository [Developmental Tools]. IEEE Comput. Intell. Mag. Bernhard Sendhoff, Mark Roberts, Xin Yao
2006	J	`jnl`	Functions with noise-induced multimodality: a test for evolutionary robust Optimization-properties and performance analysis. IEEE Trans. Evol. Comput. Hans-Georg Beyer, Bernhard Sendhoff
2006	B	`conf`	Generalization Improvement in Multi-Objective Learning. IJCNN Lars Gräning, Yaochu Jin, Bernhard Sendhoff
2006	J	`jnl`	Inverse multi-objective robust evolutionary design. Genet. Program. Evolvable Mach. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee
2006	A	`conf`	Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. PPSN Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang
2006	J	`jnl`	Multi-network evolutionary systems and automatic decomposition of complex problems. Int. J. Gen. Syst. Vineet R. Khare, Xin Yao, Bernhard Sendhoff
2006	—	`ch.`	Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. Multi-Objective Machine Learning Yaochu Jin, Bernhard Sendhoff, Edgar Körner
2006	B	`conf`	Trusted Evolutionary Algorithm. IEEE Congress on Evolutionary Computation Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
2005	—	`conf`	A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization. ICNC (2) Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee, Lars Freund, Shuja Parvez, Bernhard Sendhoff
2005	B	`conf`	A new approach to dynamics analysis of genetic algorithms without selection. Congress on Evolutionary Computation Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
2005	B	`conf`	Co-evolutionary modular neural networks for automatic problem decomposition. Congress on Evolutionary Computation Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing
2005	B	`conf`	Crawling along the Pareto front: tales from the practice. Congress on Evolutionary Computation Martina Hasenjäger, Bernhard Sendhoff
2005	B	`conf`	Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study. ESANN Lars Gräning, Yaochu Jin, Bernhard Sendhoff
2005	C	`conf`	Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations. EMO Yaochu Jin, Bernhard Sendhoff, Edgar Körner
2005	J	`jnl`	Evolutionary optimization of a hierarchical object recognition model. IEEE Trans. Syst. Man Cybern. Part B Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner
2005	A	`conf`	Morphing methods in evolutionary design optimization. GECCO Michael Nashvili, Markus Olhofer, Bernhard Sendhoff
2005	—	`conf`	On Evolutionary Optimization of Large Problems Using Small Populations. ICNC (2) Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2005	J	`jnl`	Structure optimization of neural networks for evolutionary design optimization. Soft Comput. Michael Hüsken, Yaochu Jin, Bernhard Sendhoff
2005	B	`conf`	Synergies between Evolutionary and Neural Computation. ESANN Christian Igel, Bernhard Sendhoff
2005	B	`conf`	Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies. Congress on Evolutionary Computation Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
2005	A	`conf`	Three dimensional evolutionary aerodynamic design optimization with CMA-ES. GECCO Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda, Toshiyuki Arima
2004	B	`conf`	A decision making framework for game playing using evolutionary optimization and learning. IEEE Congress on Evolutionary Computation Alexandro Mark, Bernhard Sendhoff, Heiko Wersing
2004	A	`conf`	Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures. PPSN Razvan Enache, Bernhard Sendhoff, Markus Olhofer, Martina Hasenjäger
2004	—	`conf`	Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept. EvoWorkshops Yaochu Jin, Bernhard Sendhoff
2004	A	`conf`	Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. PPSN Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner
2004	A	`conf`	Credit Assignment Among Neurons in Co-evolving Populations. PPSN Vineet R. Khare, Xin Yao, Bernhard Sendhoff
2004	B	`conf`	Neural network regularization and ensembling using multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff
2004	A	`conf`	On Test Functions for Evolutionary Multi-objective Optimization. PPSN Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2004	J	`jnl`	On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model Analysis. Genet. Program. Evolvable Mach. Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff
2004	—	`conf`	Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. GECCO (1) Yaochu Jin, Bernhard Sendhoff
2004	B	`conf`	Voronoi-based estimation of distribution algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff, Markus Olhofer
2003	B	`conf`	A critical survey of performance indices for multi-objective optimisation. IEEE Congress on Evolutionary Computation Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
2003	B	`conf`	Comparative studies on micro heat exchanger optimisation. IEEE Congress on Evolutionary Computation Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin, Bernhard Sendhoff
2003	B	`conf`	Comparing neural networks and Kriging for fitness approximation in evolutionary optimization. IEEE Congress on Evolutionary Computation Lars Willmes, Thomas Bäck, Yaochu Jin, Bernhard Sendhoff
2003	B	`conf`	Connectedness, regularity and the success of local search in evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation Yaochu Jin, Bernhard Sendhoff
2003	B	`conf`	Evolutionary multi-objective optimisation with a hybrid representation. IEEE Congress on Evolutionary Computation Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
2003	J	`jnl`	Extracting Interpretable Fuzzy Rules from RBF Networks. Neural Process. Lett. Yaochu Jin, Bernhard Sendhoff
2003	A	`conf`	Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. GECCO Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff
2003	B	`conf`	Target shape design optimization with evolutionary computation. IEEE Congress on Evolutionary Computation Wei-Wen Chang, Chan-Jin Chung, Bernhard Sendhoff
2003	C	`conf`	Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. EMO Yaochu Jin, Bernhard Sendhoff
2002	J	`jnl`	A framework for evolutionary optimization with approximate fitness functions. IEEE Trans. Evol. Comput. Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2002	A	`conf`	Fitness Approximation In Evolutionary Computation - a Survey. GECCO Yaochu Jin, Bernhard Sendhoff
2002	A	`conf`	Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization. GECCO Yaochu Jin, Bernhard Sendhoff
2002	A	`conf`	On The Dynamics Of Evolutionary Multi-objective Optimization. GECCO Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
2002	A	`conf`	On the Behavior of (μ/μ FOGA Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff
2002	—	`conf`	The Influence of stochastic Quality Functions on Evolutionary Search. SEAL Bernhard Sendhoff, Hans-Georg Beyer, Markus Olhofer
2001	C	`conf`	Adapting Weighted Aggregation for Multiobjective Evolution Strategies. EMO Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff
2001	B	`conf`	Adaptive encoding for aerodynamic shape optimization using evolution strategies. CEC Markus Olhofer, Yaochu Jin, Bernhard Sendhoff
2001	B	`conf`	Managing approximate models in evolutionary aerodynamic design optimization. CEC Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2000	B	`conf`	Evolutionary optimised ontogenetic neural networks with incremental problem complexity during development. CEC Bernhard Sendhoff
2000	A	`conf`	On Evolutionary Optimization with Approximate Fitness Functions. GECCO Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
1999	J	`jnl`	A Model for the Dynamic Interaction Between Evolution and Learning. Neural Process. Lett. Bernhard Sendhoff, Martin Kreutz
1999	J	`jnl`	Knowledge Incorporation into Neural Networks From Fuzzy Rules. Neural Process. Lett. Yaochu Jin, Bernhard Sendhoff
1999	J	`jnl`	On generating FC IEEE Trans. Syst. Man Cybern. Part B Yaochu Jin, Werner von Seelen, Bernhard Sendhoff
1999	A	`conf`	Structure optimization of density estimation models applied to regression problems with dynamic noise. AISTATS Martin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs, Werner von Seelen
1999	B	`conf`	Variable encoding of modular neural networks for time series prediction. CEC Bernhard Sendhoff, Martin Kreutz
1998	—	`—`	Evolution of structures: optimization of artificial neural structures for information processing. Bernhard Sendhoff
1998	A	`conf`	Optimisation of Density Estimation Models with Evolutionary Algorithms. PPSN Martin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs, Werner von Seelen
1997	—	`conf`	A Condition for the Genotype-Phenotype Mapping: Causality. ICGA Bernhard Sendhoff, Martin Kreutz, Werner von Seelen
1997	C	`conf`	An Extended Elman Net for Modeling Time Series. ICANN Peter Stagge, Bernhard Sendhoff
1997	—	`conf`	Evolutionary Optimization of the Structure of Neural Networks by a Recursive Mapping as Encoding. ICANNGA Bernhard Sendhoff, Martin Kreutz
1997	Misc	`conf`	From neural networks to neural strategies. ICASSP Christian Goerick, Bernhard Sendhoff, Werner von Seelen
1996	—	`conf`	Analysis of Possible Genome-Dependence of Mutation Rates in Genetic Algorithms. Evolutionary Computing, AISB Workshop Bernhard Sendhoff, Martin Kreutz
1996	C	`ed.`	Artificial Neural Networks - ICANN 96, 1996 International Conference, Bochum, Germany, July 16-19, 1996, Proceedings ICANN Christoph von der Malsburg, Werner von Seelen, Jan C. Vorbrüggen, Bernhard Sendhoff