Bernhard Sendhoff - researchr alias

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2011

2010

2009

Interaction Detection in Aerodynamic Design DataLars GrÃ¤ning, Markus Olhofer, Bernhard Sendhoff. ideal 2009: 160-167 [doi]

Fuzzy Logic in Evolving in silicoOscillatory Dynamics for Gene Regulatory NetworksYaochu Jin, Bernhard Sendhoff. In Yaochu Jin, Lipo Wang, editors, Fuzzy Systems in Bioinformatics and Computational Biology. Volume 242 of Studies in Fuzziness and Soft Computing, pages 315-327, Springer, 2009. [doi]

A systems approach to evolutionary multiobjective structural optimization and beyondYaochu Jin, Bernhard Sendhoff. cim, 4(3):62-76, 2009. [doi]

Pareto analysis of evolutionary and learning systemsYaochu Jin, Robin Gruna, Bernhard Sendhoff. fcsc, 3(1):4-17, 2009. [doi]

Corrections to Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies [May 08 397-415]Yaochu Jin, Bernhard Sendhoff. tsmc, 39(3):373, 2009. [doi]

The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory OrganismBen Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao. ecal 2011: 18-26 [doi]

Lamarckian memetic algorithms: local optimum and connectivity structure analysisMinh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff. memetic, 1(3):175-190, 2009. [doi]

The Influence of Learning on Evolution: A Mathematical FrameworkIngo Paenke, Tadeusz J. Kawecki, Bernhard Sendhoff. alife, 15(2):227-245, 2009. [doi]

Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular AnimatsLisa Schramm, Yaochu Jin, Bernhard Sendhoff. ecal 2011: 27-34 [doi]

Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent SystemsBernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter, Kenji Doya, editors, Volume 5436 of Lecture Notes in Computer Science, Springer, 2009. [doi]

Creating Brain-Like IntelligenceBernhard Sendhoff, Edgar Körner, Olaf Sporns. In Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge Ritter, Kenji Doya, editors, Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems. Volume 5436 of Lecture Notes in Computer Science, pages 1-14, Springer, 2009. [doi]

Global shape with morphogen gradients and motile polarized cellsTill Steiner, Jens Trommler, Martin Brenn, Yaochu Jin, Bernhard Sendhoff. cec 2009: 2225-2232 [doi]

2008

Covariance Matrix Adaptation Revisited - The CMSA Evolution Strategy -Hans-Georg Beyer, Bernhard Sendhoff. ppsn 2008: 123-132 [doi]

Prediction of convergence dynamics of design performance using differential recurrent neural networksYi Cao, Yaochu Jin, Michal Kowalczykiewicz, Bernhard Sendhoff. ijcnn 2008: 528-533 [doi]

Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade GeometriesLars Gräning, Stefan Menzel, Martina Hasenjäger, Thomas Bihrer, Markus Olhofer, Bernhard Sendhoff. jmma, 7(4):329-350, 2008. [doi]

Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifsYaochu Jin, Bernhard Sendhoff. cec 2008: 386-391 [doi]

A Gene Regulatory Model for the Development of Primitive Nervous SystemsYaochu Jin, Lisa Schramm, Bernhard Sendhoff. iconip 2009: 48-55 [doi]

Pareto-Based Multiobjective Machine Learning: An Overview and Case StudiesYaochu Jin, Bernhard Sendhoff. tsmc, 38(3):397-415, 2008. [doi]

Rule Extraction from Compact Pareto-optimal Neural NetworksYaochu Jin, Bernhard Sendhoff, Edgar Körner. In Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh, editors, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Volume 98 of Studies in Computational Intelligence, pages 71-90, Springer, 2008. [doi]

Evolution of Neural Organization in a Hydra-Like AnimatBen Jones, Yaochu Jin, Xin Yao, Bernhard Sendhoff. iconip 2009: 216-223 [doi]

Evolutionary Optimization with Dynamic Fidelity Computational ModelsDudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff. icic 2008: 235-242 [doi]

Representing the Change - Free Form Deformation for Evolutionary Design OptimizationStefan Menzel, Bernhard Sendhoff. In Tina Yu, Lawrence Davis, Cem M. Baydar, Rajkumar Roy, editors, Evolutionary Computation in Practice. Volume 88 of Studies in Computational Intelligence, pages 63-86, Springer, 2008. [doi]

Toward a gene regulatory network model for evolving chemotaxis behaviorNeale Samways, Yaochu Jin, Xin Yao, Bernhard Sendhoff. cec 2008: 2569-2576 [doi]

A cellular model for the evolutionary development of lightweight material with an inner structureTill Steiner, Yaochu Jin, Bernhard Sendhoff. gecco 2008: 851-858 [doi]

Combination of EDA and DE for continuous biobjective optimizationAimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff. cec 2008: 1447-1454 [doi]

2007

Evolutionary Algorithms in the Presence of Noise: To Sample or Not to SampleHans-Georg Beyer, Bernhard Sendhoff. foci 2007: 17-24 [doi]

Word Recognition with a Hierarchical Neural NetworkXavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick. nolisp 2007: 142-151 [doi]

Knowledge Extraction from Unstructured Surface MeshesLars Gräning, Markus Olhofer, Bernhard Sendhoff. ideal 2007: 497-506 [doi]

Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade OptimizationLars Gräning, Yaochu Jin, Bernhard Sendhoff. In Shengxiang Yang, Yew-Soon Ong, Yaochu Jin, editors, Evolutionary Computation in Dynamic and Uncertain Environments. Volume 51 of Studies in Computational Intelligence, pages 225-250, Springer, 2007. [doi]

Evolutionary Multi-objective Optimization of Spiking Neural NetworksYaochu Jin, Ruojing Wen, Bernhard Sendhoff. icann 2007: 370-379 [doi]

Efficient Hierarchical Parallel Genetic Algorithms using Grid computingDudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee. fgcs, 23(4):658-670, 2007. [doi]

A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computationDudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff. gecco 2007: 1288-1295 [doi]

On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing EnvironmentsIngo Paenke, Bernhard Sendhoff, Jon Rowe, Chrisantha Fernando. ecal 2007: 355-364 [doi]

Emergence of feedback in artificial gene regulatory networksTill Steiner, L. Schramm, Yaochu Jin, Bernhard Sendhoff. cec 2007: 867-874 [doi]

Target shape design optimization by evolving splinesPan Zhang, Xin Yao, Lei Jia, Bernhard Sendhoff, Thorsten Schnier. cec 2007: 2009-2016 [doi]

Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossoverAimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang. gecco 2007: 617-623 [doi]

Adaptivemodelling strategy for continuous multi-objective optimizationAimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff. cec 2007: 431-437 [doi]

2006

Functions with noise-induced multimodality: a test for evolutionary robust Optimization-properties and performance analysisHans-Georg Beyer, Bernhard Sendhoff. tec, 10(5):507-526, 2006. [doi]

Generalization Improvement in Multi-Objective LearningLars Gräning, Yaochu Jin, Bernhard Sendhoff. ijcnn 2006: 4839-4846 [doi]

Alleviating Catastrophic Forgetting via Multi-Objective LearningYaochu Jin, Bernhard Sendhoff. ijcnn 2006: 3335-3342 [doi]

Simultaneous Generation of Accurate and Interpretable Neural Network ClassifiersYaochu Jin, Bernhard Sendhoff, Edgar Körner. In Yaochu Jin, editor, Multi-Objective Machine Learning. Volume 16 of Studies in Computational Intelligence, pages 291-312, Springer, 2006. [doi]

Environments Conducive to Evolution of ModularityVineet R. Khare, Bernhard Sendhoff, Xin Yao. ppsn 2006: 603-612 [doi]

Inverse multi-objective robust evolutionary designDudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee. gpem, 7(4):383-404, 2006. [doi]

Direct Manipulation of Free Form Deformation in Evolutionary Design OptimisationStefan Menzel, Markus Olhofer, Bernhard Sendhoff. ppsn 2006: 352-361 [doi]

Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic MappingAimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang. ppsn 2006: 443-452 [doi]

Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective OptimizationAimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang. emo 2007: 832-846 [doi]

2005

Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative studyLars Gräning, Yaochu Jin, Bernhard Sendhoff. esann 2005: 273-278 [doi]

Crawling along the Pareto front: tales from the practiceMartina Hasenjäger, Bernhard Sendhoff. cec 2005: 174-181 [doi]

Three dimensional evolutionary aerodynamic design optimization with CMA-ESMartina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda, Toshiyuki Arima. gecco 2005: 2173-2180 [doi]

Structure optimization of neural networks for evolutionary design optimizationMichael Hüsken, Yaochu Jin, Bernhard Sendhoff. soco, 9(1):21-28, 2005. [doi]

Synergies between Evolutionary and Neural ComputationChristian Igel, Bernhard Sendhoff. esann 2005: 241-252 [doi]

Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type RepresentationsYaochu Jin, Bernhard Sendhoff, Edgar Körner. emo 2005: 752-766 [doi]

On Evolutionary Optimization of Large Problems Using Small PopulationsYaochu Jin, Markus Olhofer, Bernhard Sendhoff. icnc 2005: 1145-1154 [doi]

Co-evolutionary modular neural networks for automatic problem decompositionVineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing. cec 2005: 2691-2698 [doi]

Morphing methods in evolutionary design optimizationMichael Nashvili, Markus Olhofer, Bernhard Sendhoff. gecco 2005: 897-904 [doi]

A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design OptimizationHee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee, Lars Freund, Shuja Parvez, Bernhard Sendhoff. icnc 2005: 1112-1121 [doi]

Theoretical comparisons of search dynamics of genetic algorithms and evolution strategiesTatsuya Okabe, Yaochu Jin, Bernhard Sendhoff. cec 2005: 382-389 [doi]

A new approach to dynamics analysis of genetic algorithms without selectionTatsuya Okabe, Yaochu Jin, Bernhard Sendhoff. cec 2005: 374-381 [doi]

Evolutionary optimization of a hierarchical object recognition modelGeorg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner. tsmc, 35(3):426-437, 2005. [doi]

2004

On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model AnalysisHans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff. gpem, 5(4):327-360, 2004. [doi]

Comparison of Steady-State and Generational Evolution Strategies for Parallel ArchitecturesRazvan Enache, Bernhard Sendhoff, Markus Olhofer, Martina Hasenjäger. ppsn 2004: 253-262 [doi]

Reducing Fitness Evaluations Using Clustering Techniques and Neural Network EnsemblesYaochu Jin, Bernhard Sendhoff. gecco 2004: 688-699 [doi]

Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization ConceptYaochu Jin, Bernhard Sendhoff. evoW 2004: 525-536 [doi]

Credit Assignment Among Neurons in Co-evolving PopulationsVineet R. Khare, Xin Yao, Bernhard Sendhoff. ppsn 2004: 882-891 [doi]

On Test Functions for Evolutionary Multi-objective OptimizationTatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff. ppsn 2004: 792-802 [doi]

Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition ModelGeorg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner. ppsn 2004: 662-671 [doi]

2003

2002

A framework for evolutionary optimization with approximate fitness functionsYaochu Jin, Markus Olhofer, Bernhard Sendhoff. tec, 6(5):481-494, 2002.

Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective OptimizationYaochu Jin, Bernhard Sendhoff. gecco 2002: 683

Fitness Approximation In Evolutionary Computation - a SurveyYaochu Jin, Bernhard Sendhoff. gecco 2002: 1105-1112

On The Dynamics Of Evolutionary Multi-objective OptimizationTatsuya Okabe, Yaochu Jin, Bernhard Sendhoff. gecco 2002: 247-256

2001

Adapting Weighted Aggregation for Multiobjective Evolution StrategiesYaochu Jin, Tatsuya Okabe, Bernhard Sendhoff. emo 2001: 96-110 [doi]

2000

On Evolutionary Optimization with Approximate Fitness FunctionsYaochu Jin, Markus Olhofer, Bernhard Sendhoff. gecco 2000: 786-793

1999

On generating FC:::3::: fuzzy rule systems from data using evolution strategiesYaochu Jin, Werner von Seelen, Bernhard Sendhoff. tsmc, 29(6):829-845, 1999.

Knowledge Incorporation into Neural Networks From Fuzzy RulesYaochu Jin, Bernhard Sendhoff. npl, 10(3):231-242, 1999.

A Model for the Dynamic Interaction Between Evolution and LearningBernhard Sendhoff, Martin Kreutz. npl, 10(3):181-193, 1999.

1998

Optimisation of Density Estimation Models with Evolutionary AlgorithmsMartin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs, Werner von Seelen. ppsn 1998: 998-1007 [doi]

1997

A Condition for the Genotype-Phenotype Mapping: CausalityBernhard Sendhoff, Martin Kreutz, Werner von Seelen. icga 1997: 73-80

An Extended Elman Net for Modeling Time SeriesPeter Stagge, Bernhard Sendhoff. icann 1997: 427-432

1996

Analysis of Possible Genome-Dependence of Mutation Rates in Genetic AlgorithmsBernhard Sendhoff, Martin Kreutz. aisb 1996: 257-268

Artificial Neural Networks - ICANN 96, 1996 International Conference, Bochum, germany, July 16-19, 1996, ProceedingsChristoph von der Malsburg, Werner von Seelen, Jan C. Vorbrüggen, Bernhard Sendhoff, editors, Volume 1112 of Lecture Notes in Computer Science, Springer, 1996.