Analysis of Possible Genome-Dependence of Mutation Rates in Genetic Algorithms. - Bernhard Sendhoff; Martin Kreutz (Evolutionary Computing, AISB Workshop, 1996)

An Extended Elman Net for Modeling Time Series. - Peter Stagge; Bernhard Sendhoff (ICANN, 1997)

Evolutionary Optimization of the Structure of Neural Networks by a Recursive Mapping as Encoding. - Bernhard Sendhoff; Martin Kreutz (ICANNGA, 1997)

From neural networks to neural strategies. - Christian Goerick; Bernhard Sendhoff; Werner von Seelen (ICASSP, 1997)

A Condition for the Genotype-Phenotype Mapping: Causality. - Bernhard Sendhoff; Martin Kreutz; Werner von Seelen (ICGA, 1997)

Optimisation of Density Estimation Models with Evolutionary Algorithms. - Martin Kreutz; Anja M. Reimetz; Bernhard Sendhoff; Claus Weihs; Werner von Seelen (PPSN, 1998)

Evolution of structures: optimization of artificial neural structures for information processing. - Bernhard Sendhoff (Shaker, 1998)

Structure optimization of density estimation models applied to regression problems with dynamic noise. - Martin Kreutz; Anja M. Reimetz; Bernhard Sendhoff; Claus Weihs; Werner von Seelen (AISTATS, 1999)

Variable encoding of modular neural networks for time series prediction. - Bernhard Sendhoff; Martin Kreutz (CEC, 1999)

Knowledge Incorporation into Neural Networks From Fuzzy Rules. - Yaochu Jin; Bernhard Sendhoff (Neural Process. Lett., 1999)

A Model for the Dynamic Interaction Between Evolution and Learning. - Bernhard Sendhoff; Martin Kreutz (Neural Process. Lett., 1999)

On generating FC3 fuzzy rule systems from data using evolution strategies. - Yaochu Jin; Werner von Seelen; Bernhard Sendhoff (IEEE Trans. Syst. Man Cybern. Part B, 1999)

Evolutionary optimised ontogenetic neural networks with incremental problem complexity during development. - Bernhard Sendhoff (CEC, 2000)

On Evolutionary Optimization with Approximate Fitness Functions. - Yaochu Jin; Markus Olhofer; Bernhard Sendhoff (GECCO, 2000)

Managing approximate models in evolutionary aerodynamic design optimization. - Yaochu Jin; Markus Olhofer; Bernhard Sendhoff (CEC, 2001)

Adaptive encoding for aerodynamic shape optimization using evolution strategies. - Markus Olhofer; Yaochu Jin; Bernhard Sendhoff (CEC, 2001)

Adapting Weighted Aggregation for Multiobjective Evolution Strategies. - Yaochu Jin; Tatsuya Okabe; Bernhard Sendhoff (EMO, 2001)

On the Behavior of (μ/μ1, λ)-ES Optimizing Functions Disturbed by Generalized Noise. - Hans-Georg Beyer; Markus Olhofer; Bernhard Sendhoff (FOGA, 2002)

Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization. - Yaochu Jin; Bernhard Sendhoff (GECCO, 2002)

Fitness Approximation In Evolutionary Computation - a Survey. - Yaochu Jin; Bernhard Sendhoff (GECCO, 2002)

On The Dynamics Of Evolutionary Multi-objective Optimization. - Tatsuya Okabe; Yaochu Jin; Bernhard Sendhoff (GECCO, 2002)

The Influence of stochastic Quality Functions on Evolutionary Search. - Bernhard Sendhoff; Hans-Georg Beyer; Markus Olhofer (SEAL, 2002)

A framework for evolutionary optimization with approximate fitness functions. - Yaochu Jin; Markus Olhofer; Bernhard Sendhoff (IEEE Trans. Evol. Comput., 2002)

Target shape design optimization with evolutionary computation. - Wei-Wen Chang; Chan-Jin Chung; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2003)

Connectedness, regularity and the success of local search in evolutionary multi-objective optimization. - Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2003)

Comparative studies on micro heat exchanger optimisation. - Tatsuya Okabe; Kwasi Foli; Markus Olhofer; Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2003)

A critical survey of performance indices for multi-objective optimisation. - Tatsuya Okabe; Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2003)

Evolutionary multi-objective optimisation with a hybrid representation. - Tatsuya Okabe; Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2003)

Comparing neural networks and Kriging for fitness approximation in evolutionary optimization. - Lars Willmes; Thomas Bäck; Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2003)

Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. - Yaochu Jin; Bernhard Sendhoff (EMO, 2003)

Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. - Yaochu Jin; Tatsuya Okabe; Bernhard Sendhoff (GECCO, 2003)

Extracting Interpretable Fuzzy Rules from RBF Networks. - Yaochu Jin; Bernhard Sendhoff (Neural Process. Lett., 2003)

Neural network regularization and ensembling using multi-objective evolutionary algorithms. - Yaochu Jin; Tatsuya Okabe; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2004)

A decision making framework for game playing using evolutionary optimization and learning. - Alexandro Mark; Bernhard Sendhoff; Heiko Wersing (IEEE Congress on Evolutionary Computation, 2004)

Voronoi-based estimation of distribution algorithm for multi-objective optimization. - Tatsuya Okabe; Yaochu Jin; Bernhard Sendhoff; Markus Olhofer (IEEE Congress on Evolutionary Computation, 2004)

Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept. - Yaochu Jin; Bernhard Sendhoff (EvoWorkshops, 2004)

Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. - Yaochu Jin; Bernhard Sendhoff (GECCO (1), 2004)

Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures. - Razvan Enache; Bernhard Sendhoff; Markus Olhofer; Martina Hasenjäger (PPSN, 2004)

Credit Assignment Among Neurons in Co-evolving Populations. - Vineet R. Khare; Xin Yao 001; Bernhard Sendhoff (PPSN, 2004)

On Test Functions for Evolutionary Multi-objective Optimization. - Tatsuya Okabe; Yaochu Jin; Markus Olhofer; Bernhard Sendhoff (PPSN, 2004)

Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. - Georg Schneider 003; Heiko Wersing; Bernhard Sendhoff; Edgar Körner (PPSN, 2004)

On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model Analysis. - Hans-Georg Beyer; Markus Olhofer; Bernhard Sendhoff (Genet. Program. Evolvable Mach., 2004)

Crawling along the Pareto front: tales from the practice. - Martina Hasenjäger; Bernhard Sendhoff (Congress on Evolutionary Computation, 2005)

Co-evolutionary modular neural networks for automatic problem decomposition. - Vineet R. Khare; Xin Yao 001; Bernhard Sendhoff; Yaochu Jin; Heiko Wersing (Congress on Evolutionary Computation, 2005)

A new approach to dynamics analysis of genetic algorithms without selection. - Tatsuya Okabe; Yaochu Jin; Bernhard Sendhoff (Congress on Evolutionary Computation, 2005)

Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies. - Tatsuya Okabe; Yaochu Jin; Bernhard Sendhoff (Congress on Evolutionary Computation, 2005)

Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations. - Yaochu Jin; Bernhard Sendhoff; Edgar Körner (EMO, 2005)

Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study. - Lars Gräning; Yaochu Jin; Bernhard Sendhoff (ESANN, 2005)

Synergies between Evolutionary and Neural Computation. - Christian Igel; Bernhard Sendhoff (ESANN, 2005)

Three dimensional evolutionary aerodynamic design optimization with CMA-ES. - Martina Hasenjäger; Bernhard Sendhoff; Toyotaka Sonoda; Toshiyuki Arima (GECCO, 2005)

Morphing methods in evolutionary design optimization. - Michael Nashvili; Markus Olhofer; Bernhard Sendhoff (GECCO, 2005)

On Evolutionary Optimization of Large Problems Using Small Populations. - Yaochu Jin; Markus Olhofer; Bernhard Sendhoff (ICNC (2), 2005)

A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization. - Hee-Khiang Ng; Dudy Lim; Yew-Soon Ong; Bu-Sung Lee; Lars Freund; Shuja Parvez; Bernhard Sendhoff (ICNC (2), 2005)

Structure optimization of neural networks for evolutionary design optimization. - Michael Hüsken; Yaochu Jin; Bernhard Sendhoff (Soft Comput., 2005)

Evolutionary optimization of a hierarchical object recognition model. - Georg Schneider 003; Heiko Wersing; Bernhard Sendhoff; Edgar Körner (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Evolution Strategies for Robust Optimization. - Hans-Georg Beyer; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2006)

Trusted Evolutionary Algorithm. - Dudy Lim; Yew-Soon Ong; Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2006)

Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion. - Aimin Zhou; Yaochu Jin; Qingfu Zhang 001; Bernhard Sendhoff; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2006)

Generalization Improvement in Multi-Objective Learning. - Lars Gräning; Yaochu Jin; Bernhard Sendhoff (IJCNN, 2006)

Alleviating Catastrophic Forgetting via Multi-Objective Learning. - Yaochu Jin; Bernhard Sendhoff (IJCNN, 2006)

Environments Conducive to Evolution of Modularity. - Vineet R. Khare; Bernhard Sendhoff; Xin Yao 001 (PPSN, 2006)

Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. - Stefan Menzel; Markus Olhofer; Bernhard Sendhoff (PPSN, 2006)

Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Bernhard Sendhoff; Edward P. K. Tsang (PPSN, 2006)

Evolutionary computation benchmarking repository [Developmental Tools]. - Bernhard Sendhoff; Mark Roberts; Xin Yao 001 (IEEE Comput. Intell. Mag., 2006)

Inverse multi-objective robust evolutionary design. - Dudy Lim; Yew-Soon Ong; Yaochu Jin; Bernhard Sendhoff; Bu-Sung Lee (Genet. Program. Evolvable Mach., 2006)

Multi-network evolutionary systems and automatic decomposition of complex problems. - Vineet R. Khare; Xin Yao 001; Bernhard Sendhoff (Int. J. Gen. Syst., 2006)

Functions with noise-induced multimodality: a test for evolutionary robust Optimization-properties and performance analysis. - Hans-Georg Beyer; Bernhard Sendhoff (IEEE Trans. Evol. Comput., 2006)

Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. - Yaochu Jin; Bernhard Sendhoff; Edgar Körner (Multi-Objective Machine Learning, 2006)

Emergence of feedback in artificial gene regulatory networks. - Till Steiner; Lisa Schramm; Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2007)

Target shape design optimization by evolving splines. - Pan Zhang; Xin Yao 001; Lei Jia; Bernhard Sendhoff; Thorsten Schnier (IEEE Congress on Evolutionary Computation, 2007)

Adaptivemodelling strategy for continuous multi-objective optimization. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2007)

On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments. - Ingo Paenke; Bernhard Sendhoff; Jonathan E. Rowe; Chrisantha Fernando (ECAL, 2007)

Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. - Aimin Zhou; Yaochu Jin; Qingfu Zhang 001; Bernhard Sendhoff; Edward P. K. Tsang (EMO, 2007)

Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample. - Hans-Georg Beyer; Bernhard Sendhoff (FOCI, 2007)

A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. - Dudy Lim; Yew-Soon Ong; Yaochu Jin; Bernhard Sendhoff (GECCO, 2007)

Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Bernhard Sendhoff; Edward P. K. Tsang (GECCO, 2007)

Evolutionary Multi-objective Optimization of Spiking Neural Networks. - Yaochu Jin; Ruojing Wen; Bernhard Sendhoff (ICANN (1), 2007)

Knowledge Extraction from Unstructured Surface Meshes. - Lars Gräning; Markus Olhofer; Bernhard Sendhoff (IDEAL, 2007)

Word Recognition with a Hierarchical Neural Network. - Xavier Domont; Martin Heckmann; Heiko Wersing; Frank Joublin; Stefan Menzel; Bernhard Sendhoff; Christian Goerick (NOLISP, 2007)

Emergent Technology Technical Committee [Society Briefs]. - Bernhard Sendhoff (IEEE Comput. Intell. Mag., 2007)

Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. - Dudy Lim; Yew-Soon Ong; Yaochu Jin; Bernhard Sendhoff; Bu-Sung Lee (Future Gener. Comput. Syst., 2007)

Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. - Lars Gräning; Yaochu Jin; Bernhard Sendhoff (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

Genesis of Organic Computing Systems: Coupling Evolution and Learning. - Christian Igel; Bernhard Sendhoff (Organic Computing, 2008)

Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms. - Yaochu Jin; Aimin Zhou; Qingfu Zhang 001; Bernhard Sendhoff; Edward P. K. Tsang (Multiobjective Problem Solving from Nature, 2008)

Evolving Functional Symmetry in a Three Dimensional Model of an Elongated Organism. - Ben Jones; Yaochu Jin; Bernhard Sendhoff; Xin Yao 001 (ALIFE, 2008)

Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs. - Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2008)

Toward a gene regulatory network model for evolving chemotaxis behavior. - Neale Samways; Yaochu Jin; Xin Yao 001; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2008)

Combination of EDA and DE for continuous biobjective optimization. - Aimin Zhou; Qingfu Zhang 001; Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2008)

A cellular model for the evolutionary development of lightweight material with an inner structure. - Till Steiner; Yaochu Jin; Bernhard Sendhoff (GECCO, 2008)

Evolutionary Optimization with Dynamic Fidelity Computational Models. - Dudy Lim; Yew-Soon Ong; Yaochu Jin; Bernhard Sendhoff (ICIC (2), 2008)

A Gene Regulatory Model for the Development of Primitive Nervous Systems. - Yaochu Jin; Lisa Schramm; Bernhard Sendhoff (ICONIP (1), 2008)

Evolution of Neural Organization in a Hydra-Like Animat. - Ben Jones; Yaochu Jin; Xin Yao 001; Bernhard Sendhoff (ICONIP (1), 2008)

Prediction of convergence dynamics of design performance using differential recurrent neural networks. - Yi Cao; Yaochu Jin; Michal Kowalczykiewicz; Bernhard Sendhoff (IJCNN, 2008)

Covariance Matrix Adaptation Revisited - The CMSA Evolution Strategy -. - Hans-Georg Beyer; Bernhard Sendhoff (PPSN, 2008)

Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries. - Lars Gräning; Stefan Menzel; Martina Hasenjäger; Thomas Bihrer; Markus Olhofer; Bernhard Sendhoff (J. Math. Model. Algorithms, 2008)

Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies. - Yaochu Jin; Bernhard Sendhoff (IEEE Trans. Syst. Man Cybern. Part C, 2008)

Rule Extraction from Compact Pareto-optimal Neural Networks. - Yaochu Jin; Bernhard Sendhoff; Edgar Körner (Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008)

Representing the Change - Free Form Deformation for Evolutionary Design Optimization. - Stefan Menzel; Bernhard Sendhoff (Evolutionary Computation in Practice, 2008)

Global shape with morphogen gradients and motile polarized cells. - Till Steiner; Jens Trommler; Martin Brenn; Yaochu Jin; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2009)

Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations. - Yaochu Jin; Robin Gruna; Ingo Paenke; Bernhard Sendhoff (MCDM, 2009)

The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism. - Ben Jones; Yaochu Jin; Bernhard Sendhoff; Xin Yao 001 (ECAL (1), 2009)

Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats. - Lisa Schramm; Yaochu Jin; Bernhard Sendhoff (ECAL (1), 2009)

Interaction Detection in Aerodynamic Design Data. - Lars Gräning; Markus Olhofer; Bernhard Sendhoff (IDEAL, 2009)

Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks. - Yaochu Jin; Yan Meng 002; Bernhard Sendhoff (ALIFE, 2009)

The Influence of Learning on Evolution: A Mathematical Framework. - Ingo Paenke; Tadeusz J. Kawecki; Bernhard Sendhoff (Artif. Life, 2009)

A systems approach to evolutionary multiobjective structural optimization and beyond. - Yaochu Jin; Bernhard Sendhoff (IEEE Comput. Intell. Mag., 2009)

Pareto analysis of evolutionary and learning systems. - Yaochu Jin; Robin Gruna; Bernhard Sendhoff (Frontiers Comput. Sci. China, 2009)

Lamarckian memetic algorithms: local optimum and connectivity structure analysis. - Minh Nghia Le; Yew-Soon Ong; Yaochu Jin; Bernhard Sendhoff (Memetic Comput., 2009)

Corrections to "Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies" [May 08 397-415]. - Yaochu Jin; Bernhard Sendhoff (IEEE Trans. Syst. Man Cybern. Part C, 2009)

Creating Brain-Like Intelligence. - Bernhard Sendhoff; Edgar Körner; Olaf Sporns (Creating Brain-Like Intelligence, 2009)

Fuzzy Logic in Evolving in silicoOscillatory Dynamics for Gene Regulatory Networks. - Yaochu Jin; Bernhard Sendhoff (Fuzzy Systems in Bioinformatics and Computational Biology, 2009)

Analysis of Gene Regulatory Network Motifs in Evolutionary Development of Multicellular Organisms. - Lisa Schramm; Vander Valente Martins; Yaochu Jin; Bernhard Sendhoff (ALIFE, 2010)

Evolving heterochrony for cellular differentiation using vector field embryogeny. - Till Steiner; Yaochu Jin; Bernhard Sendhoff (GECCO, 2010)

Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. - Ben Jones; Yaochu Jin; Bernhard Sendhoff; Xin Yao 001 (SAB, 2010)

Generalizing Surrogate-Assisted Evolutionary Computation. - Dudy Lim; Yaochu Jin; Yew-Soon Ong; Bernhard Sendhoff (IEEE Trans. Evol. Comput., 2010)

Evolvability of graph- and Vector Field Embryogeny representations. - Till Steiner; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2011)

An animat's cell doctrine. - Lisa Schramm; Bernhard Sendhoff (ECAL, 2011)

Evolution of neural symmetry and its coupled alignment to body plan morphology. - Ben Jones; Andrea Soltoggio; Bernhard Sendhoff; Xin Yao 001 (GECCO, 2011)

Cross-Ball: A new morphogenetic self-reconfigurable modular robot. - Yan Meng 002; Yuyang Zhang; Abhay Sampath; Yaochu Jin; Bernhard Sendhoff (ICRA, 2011)

Redundancy creates opportunity in developmental representations. - Lisa Schramm; Yaochu Jin; Bernhard Sendhoff (ALIFE, 2011)

Autonomous experimental design optimization of a flapping wing. - Markus Olhofer; Dilyana Yankulova; Bernhard Sendhoff (Genet. Program. Evolvable Mach., 2011)

Characterizing environmental changes in Robust Optimization Over Time. - Haobo Fu; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2012)

Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems. - Minh Nghia Le; Yew-Soon Ong; Stefan Menzel; Chun-Wei Seah; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2012)

Quantitative analysis of redundancy in evolution of developmental systems. - Lisa Schramm; Yaochu Jin; Bernhard Sendhoff (CIBCB, 2012)

Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization. - Lars Gräning; Stefan Menzel; Thomas Ramsay; Bernhard Sendhoff (ICGEC, 2012)

Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration. - Lisa Schramm; Yaochu Jin; Bernhard Sendhoff (Artif. Life, 2012)

A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design. - Minh Nghia Le; Yew-Soon Ong; Yaochu Jin; Bernhard Sendhoff (IEEE Comput. Intell. Mag., 2012)

Finding Robust Solutions to Dynamic Optimization Problems. - Haobo Fu; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (EvoApplications, 2013)

Novelty and interestingness measures for design-space exploration. - Edgar Reehuis; Markus Olhofer; Michael Emmerich 001; Bernhard Sendhoff; Thomas Bäck (GECCO, 2013)

Learning-Guided Exploration in Airfoil Optimization. - Edgar Reehuis; Markus Olhofer; Bernhard Sendhoff; Thomas Bäck (IDEAL, 2013)

Evolution by Adapting Surrogates. - Minh Nghia Le; Yew-Soon Ong; Stefan Menzel; Yaochu Jin; Bernhard Sendhoff (Evol. Comput., 2013)

A framework for finding robust optimal solutions over time. - Yaochu Jin; Ke Tang 001; Xin Yu 007; Bernhard Sendhoff; Xin Yao 001 (Memetic Comput., 2013)

An examination of different fitness and novelty based selection methods for the evolution of neural networks. - Benjamin Inden; Yaochu Jin; Robert Haschke; Helge J. Ritter; Bernhard Sendhoff (Soft Comput., 2013)

What are dynamic optimization problems? - Haobo Fu; Peter R. Lewis 001; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2014)

Shape mining: A holistic data mining approach for engineering design. - Lars Gräning; Bernhard Sendhoff (Adv. Eng. Informatics, 2014)

A review of concurrent optimisation methods. - Xiaofen Lu; Ke Tang 001; Bernhard Sendhoff; Xin Yao 001 (Int. J. Bio Inspired Comput., 2014)

A new self-adaptation scheme for differential evolution. - Xiaofen Lu; Ke Tang 001; Bernhard Sendhoff; Xin Yao 001 (Neurocomputing, 2014)

A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. - Ran Cheng; Yaochu Jin; Kaname Narukawa; Bernhard Sendhoff (IEEE Trans. Evol. Comput., 2015)

Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. - Haobo Fu; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2015)

Target shape design optimization by evolving B-splines with cooperative coevolution. - Zhenyu Yang 008; Bernhard Sendhoff; Ke Tang 001; Xin Yao 001 (Appl. Soft Comput., 2016)

Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization. - Kaname Narukawa; Yu Setoguchi; Yuki Tanigaki; Markus Olhofer; Bernhard Sendhoff; Hisao Ishibuchi (Soft Comput., 2016)

A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. - Ran Cheng; Yaochu Jin; Markus Olhofer; Bernhard Sendhoff (IEEE Trans. Evol. Comput., 2016)

Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. - Ran Cheng; Yaochu Jin; Markus Olhofer; Bernhard Sendhoff (IEEE Trans. Cybern., 2017)

Toward a Steady-State Analysis of an Evolution Strategy on a Robust Optimization Problem With Noise-Induced Multimodality. - Hans-Georg Beyer; Bernhard Sendhoff (IEEE Trans. Evol. Comput., 2017)

Simplify Your Covariance Matrix Adaptation Evolution Strategy. - Hans-Georg Beyer; Bernhard Sendhoff (IEEE Trans. Evol. Comput., 2017)

Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. - Sneha Saha; Thiago Rios; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck; Xin Yao 001; Zhao Xu 001; Patricia Wollstadt (ICDM Workshops, 2019)

Learning Transferable Variation Operators in a Continuous Genetic Algorithm. - Stephen Friess; Peter Tiño; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (SSCI, 2019)

On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization. - Thiago Rios; Bernhard Sendhoff; Stefan Menzel; Thomas Bäck; Bas van Stein (SSCI, 2019)

Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. - Thiago Rios; Patricia Wollstadt; Bas van Stein; Thomas Bäck; Zhao Xu 001; Bernhard Sendhoff; Stefan Menzel (SSCI, 2019)

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (SSCI, 2019)

Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. - Sneha Saha; Thiago Rios; Leandro L. Minku; Xin Yao 001; Zhao Xu 001; Bernhard Sendhoff; Stefan Menzel (SSCI, 2019)

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. - Sibghat Ullah; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (SSCI, 2019)

Solving Incremental Optimization Problems via Cooperative Coevolution. - Ran Cheng; Mohammad Nabi Omidvar; Amir H. Gandomi; Bernhard Sendhoff; Stefan Menzel; Xin Yao 001 (IEEE Trans. Evol. Comput., 2019)

Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators. - Stephen Friess; Peter Tiño; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (CEC, 2020)

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (CEC, 2020)

Cooperative Intelligence - A Humane Perspective. - Bernhard Sendhoff; Heiko Wersing (ICHMS, 2020)

Feature Visualization for 3D Point Cloud Autoencoders. - Thiago Rios; Bas van Stein; Stefan Menzel; Thomas Bäck; Bernhard Sendhoff; Patricia Wollstadt (IJCNN, 2020)

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. - Ullah Ullah; Zhao Xu 001; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (IJCNN, 2020)

Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances. - Stephen Friess; Peter Tiño; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (PPSN (1), 2020)

Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (PPSN (2), 2020)

Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. - Thiago Rios; Jiawen Kong; Bas van Stein; Thomas Bäck; Patricia Wollstadt; Bernhard Sendhoff; Stefan Menzel (SSCI, 2020)

Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. - Sneha Saha; Stefan Menzel; Leandro L. Minku; Xin Yao 001; Bernhard Sendhoff; Patricia Wollstadt (SSCI, 2020)

Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization. - Sibghat Ullah; Duc Anh Nguyen; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (SSCI, 2020)

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (Zenodo, 2020)

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. - Sibghat Ullah; Hao Wang 025; Stefan Menzel; Thomas Bäck; Bernhard Sendhoff (Zenodo, 2020)

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (Zenodo, 2020)

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. - Sibghat Ullah; Zhao Xu 001; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff (Zenodo, 2020)

Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization. - Thiago Rios; Bas van Stein; Thomas Bäck; Bernhard Sendhoff; Stefan Menzel (3DV, 2021)

Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. - Thiago Rios; Bas van Stein; Patricia Wollstadt; Thomas Bäck; Bernhard Sendhoff; Stefan Menzel (CEC, 2021)

Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. - Sneha Saha; Leandro L. Minku; Xin Yao 001; Bernhard Sendhoff; Stefan Menzel (CEC, 2021)

Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. - Duc Anh Nguyen; Jiawen Kong; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Anna V. Kononova; Thomas Bäck (DSAA, 2021)

A hybrid local search framework for the dynamic capacitated arc routing problem. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (GECCO Companion, 2021)

A new acquisition function for robust Bayesian optimization of unconstrained problems. - Sibghat Ullah; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (GECCO Companion, 2021)

Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. - Stephen Friess; Peter Tiño; Zhao Xu 001; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (IJCNN, 2021)

Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems. - Stephen Friess; Peter Tino; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (SSCI, 2021)

Efficient AutoML via Combinational Sampling. - Duc Anh Nguyen; Anna V. Kononova; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (SSCI, 2021)

Exploiting Generative Models for Performance Predictions of 3D Car Designs. - Sneha Saha; Thiago Rios; Leandro L. Minku; Bas van Stein; Patricia Wollstadt; Xin Yao 001; Thomas Bäck; Bernhard Sendhoff; Stefan Menzel (SSCI, 2021)

A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (CoRR, 2021)

Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (CEC, 2022)

What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (GECCO, 2022)

Willing to Revise? Confidence and Recommendation Adoption in AI-Assisted Image Recognition. - Leonore Röseler; Ingo Scholtes; Bernhard Sendhoff; Anikó Hannák (HHAI, 2022)

Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. - Stephen Friess; Peter Tino; Stefan Menzel; Zhao Xu 001; Bernhard Sendhoff; Xin Yao 001 (IJCNN, 2022)

Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer. - Sneha Saha; Leandro L. Minku; Xin Yao 001; Bernhard Sendhoff; Stefan Menzel (IJCNN, 2022)

A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization. - Sibghat Ullah; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (PPSN (1), 2022)

An Efficient Contesting Procedure for AutoML Optimization. - Duc Anh Nguyen; Anna V. Kononova; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (IEEE Access, 2022)

Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software. - Thomas Bäck; Carola Doerr; Bernhard Sendhoff; Thomas Stützle (IEEE Trans. Evol. Comput., 2022)

Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation. - Thiago Rios; Bas van Stein; Thomas Bäck; Bernhard Sendhoff; Stefan Menzel (IEEE Trans. Evol. Comput., 2022)

A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (IEEE Trans. Evol. Comput., 2022)

Large Language and Text-to-3D Models for Engineering Design Optimization. - Thiago Rios; Stefan Menzel; Bernhard Sendhoff (SSCI, 2023)

Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications. - Xingyi Zhang 001; Ran Cheng; Yaochu Jin; Bernhard Sendhoff (IEEE Trans. Evol. Comput., 2023)

To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions. - Daniel Tanneberg; Felix Ocker; Stephan Hasler; Joerg Deigmoeller; Anna Belardinelli; Chao Wang 055; Heiko Wersing; Bernhard Sendhoff; Michael Gienger (IROS, 2024)

Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Learning to Expand/Contract Pareto Sets in Dynamic Multiobjective Optimization With a Changing Number of Objectives. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (IEEE Trans. Evol. Comput., 2025)