| 2009 |
|---|
| 72 | EE | Yaochu Jin,
Bernhard Sendhoff:
Fuzzy Logic in Evolving in silicoOscillatory Dynamics for Gene Regulatory Networks.
Fuzzy Systems in Bioinformatics and Computational Biology 2009: 315-327 |
| 71 | EE | Yaochu Jin,
Robin Gruna,
Bernhard Sendhoff:
Pareto analysis of evolutionary and learning systems.
Frontiers of Computer Science in China 3(1): 4-17 (2009) |
| 2008 |
|---|
| 70 | EE | Till Steiner,
Yaochu Jin,
Bernhard Sendhoff:
A cellular model for the evolutionary development of lightweight material with an inner structure.
GECCO 2008: 851-858 |
| 69 | EE | Dudy Lim,
Yew-Soon Ong,
Yaochu Jin,
Bernhard Sendhoff:
Evolutionary Optimization with Dynamic Fidelity Computational Models.
ICIC (2) 2008: 235-242 |
| 68 | EE | Aimin Zhou,
Qingfu Zhang,
Yaochu Jin,
Bernhard Sendhoff:
Combination of EDA and DE for continuous biobjective optimization.
IEEE Congress on Evolutionary Computation 2008: 1447-1454 |
| 67 | EE | Neale Samways,
Yaochu Jin,
Xin Yao,
Bernhard Sendhoff:
Toward a gene regulatory network model for evolving chemotaxis behavior.
IEEE Congress on Evolutionary Computation 2008: 2569-2576 |
| 66 | EE | Yaochu Jin,
Bernhard Sendhoff:
Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs.
IEEE Congress on Evolutionary Computation 2008: 386-391 |
| 65 | EE | Yi Cao,
Yaochu Jin,
Michal Kowalczykiewicz,
Bernhard Sendhoff:
Prediction of convergence dynamics of design performance using differential recurrent neural networks.
IJCNN 2008: 528-533 |
| 64 | EE | Hans-Georg Beyer,
Bernhard Sendhoff:
Covariance Matrix Adaptation Revisited - The CMSA Evolution Strategy -.
PPSN 2008: 123-132 |
| 63 | EE | Stefan Menzel,
Bernhard Sendhoff:
Representing the Change - Free Form Deformation for Evolutionary Design Optimization.
Evolutionary Computation in Practice 2008: 63-86 |
| 62 | EE | Yaochu Jin,
Bernhard Sendhoff,
Edgar Körner:
Rule Extraction from Compact Pareto-optimal Neural Networks.
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 71-90 |
| 61 | EE | Yaochu Jin,
Bernhard Sendhoff:
Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 38(3): 397-415 (2008) |
| 2007 |
|---|
| 60 | EE | Ingo Paenke,
Bernhard Sendhoff,
Jon Rowe,
Chrisantha Fernando:
On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments.
ECAL 2007: 355-364 |
| 59 | EE | Hans-Georg Beyer,
Bernhard Sendhoff:
Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample.
FOCI 2007: 17-24 |
| 58 | EE | Dudy Lim,
Yew-Soon Ong,
Yaochu Jin,
Bernhard Sendhoff:
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation.
GECCO 2007: 1288-1295 |
| 57 | EE | Aimin Zhou,
Qingfu Zhang,
Yaochu Jin,
Bernhard Sendhoff,
Edward P. K. Tsang:
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover.
GECCO 2007: 617-623 |
| 56 | EE | Yaochu Jin,
Ruojing Wen,
Bernhard Sendhoff:
Evolutionary Multi-objective Optimization of Spiking Neural Networks.
ICANN (1) 2007: 370-379 |
| 55 | EE | Lars Gräning,
Markus Olhofer,
Bernhard Sendhoff:
Knowledge Extraction from Unstructured Surface Meshes.
IDEAL 2007: 497-506 |
| 54 | EE | Pan Zhang,
Xin Yao,
Lei Jia,
Bernhard Sendhoff,
Thorsten Schnier:
Target shape design optimization by evolving splines.
IEEE Congress on Evolutionary Computation 2007: 2009-2016 |
| 53 | EE | Aimin Zhou,
Qingfu Zhang,
Yaochu Jin,
Bernhard Sendhoff:
Adaptivemodelling strategy for continuous multi-objective optimization.
IEEE Congress on Evolutionary Computation 2007: 431-437 |
| 52 | EE | Till Steiner,
L. Schramm,
Yaochu Jin,
Bernhard Sendhoff:
Emergence of feedback in artificial gene regulatory networks.
IEEE Congress on Evolutionary Computation 2007: 867-874 |
| 51 | EE | 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 |
| 50 | EE | Lars Gräning,
Yaochu Jin,
Bernhard Sendhoff:
Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization.
Evolutionary Computation in Dynamic and Uncertain Environments 2007: 225-250 |
| 49 | EE | Dudy Lim,
Yew-Soon Ong,
Yaochu Jin,
Bernhard Sendhoff,
Bu-Sung Lee:
Efficient Hierarchical Parallel Genetic Algorithms using Grid computing.
Future Generation Comp. Syst. 23(4): 658-670 (2007) |
| 2006 |
|---|
| 48 | EE | Aimin Zhou,
Yaochu Jin,
Qingfu Zhang,
Bernhard Sendhoff,
Edward P. K. Tsang:
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization.
EMO 2006: 832-846 |
| 47 | EE | Yaochu Jin,
Bernhard Sendhoff:
Alleviating Catastrophic Forgetting via Multi-Objective Learning.
IJCNN 2006: 3335-3342 |
| 46 | EE | Lars Gräning,
Yaochu Jin,
Bernhard Sendhoff:
Generalization Improvement in Multi-Objective Learning.
IJCNN 2006: 4839-4846 |
| 45 | EE | Stefan Menzel,
Markus Olhofer,
Bernhard Sendhoff:
Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation.
PPSN 2006: 352-361 |
| 44 | EE | Aimin Zhou,
Qingfu Zhang,
Yaochu Jin,
Bernhard Sendhoff,
Edward P. K. Tsang:
Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping.
PPSN 2006: 443-452 |
| 43 | EE | Vineet R. Khare,
Bernhard Sendhoff,
Xin Yao:
Environments Conducive to Evolution of Modularity.
PPSN 2006: 603-612 |
| 42 | EE | Yaochu Jin,
Bernhard Sendhoff,
Edgar Körner:
Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers.
Multi-Objective Machine Learning 2006: 291-312 |
| 41 | EE | Dudy Lim,
Yew-Soon Ong,
Yaochu Jin,
Bernhard Sendhoff,
Bu-Sung Lee:
Inverse multi-objective robust evolutionary design.
Genetic Programming and Evolvable Machines 7(4): 383-404 (2006) |
| 40 | EE | Hans-Georg Beyer,
Bernhard Sendhoff:
Functions with noise-induced multimodality: a test for evolutionary robust Optimization-properties and performance analysis.
IEEE Trans. Evolutionary Computation 10(5): 507-526 (2006) |
| 2005 |
|---|
| 39 | EE | Martina Hasenjäger,
Bernhard Sendhoff:
Crawling along the Pareto front: tales from the practice.
Congress on Evolutionary Computation 2005: 174-181 |
| 38 | EE | Vineet R. Khare,
Xin Yao,
Bernhard Sendhoff,
Yaochu Jin,
Heiko Wersing:
Co-evolutionary modular neural networks for automatic problem decomposition.
Congress on Evolutionary Computation 2005: 2691-2698 |
| 37 | EE | Tatsuya Okabe,
Yaochu Jin,
Bernhard Sendhoff:
A new approach to dynamics analysis of genetic algorithms without selection.
Congress on Evolutionary Computation 2005: 374-381 |
| 36 | EE | Tatsuya Okabe,
Yaochu Jin,
Bernhard Sendhoff:
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies.
Congress on Evolutionary Computation 2005: 382-389 |
| 35 | EE | Yaochu Jin,
Bernhard Sendhoff,
Edgar Körner:
Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations.
EMO 2005: 752-766 |
| 34 | EE | Christian Igel,
Bernhard Sendhoff:
Synergies between Evolutionary and Neural Computation.
ESANN 2005: 241-252 |
| 33 | EE | Lars Gräning,
Yaochu Jin,
Bernhard Sendhoff:
Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study.
ESANN 2005: 273-278 |
| 32 | EE | Martina Hasenjäger,
Bernhard Sendhoff,
Toyotaka Sonoda,
Toshiyuki Arima:
Three dimensional evolutionary aerodynamic design optimization with CMA-ES.
GECCO 2005: 2173-2180 |
| 31 | EE | Michael Nashvili,
Markus Olhofer,
Bernhard Sendhoff:
Morphing methods in evolutionary design optimization.
GECCO 2005: 897-904 |
| 30 | EE | Hee-Khiang Ng,
Dudy Lim,
Yew-Soon Ong,
Bu-Sung Lee,
Lars Freund,
Shuja Parvez,
Bernhard Sendhoff:
A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization.
ICNC (2) 2005: 1112-1121 |
| 29 | EE | Yaochu Jin,
Markus Olhofer,
Bernhard Sendhoff:
On Evolutionary Optimization of Large Problems Using Small Populations.
ICNC (2) 2005: 1145-1154 |
| 28 | EE | Georg Schneider,
Heiko Wersing,
Bernhard Sendhoff,
Edgar Körner:
Evolutionary optimization of a hierarchical object recognition model.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(3): 426-437 (2005) |
| 27 | EE | Michael Hüsken,
Yaochu Jin,
Bernhard Sendhoff:
Structure optimization of neural networks for evolutionary design optimization.
Soft Comput. 9(1): 21-28 (2005) |
| 2004 |
|---|
| 26 | EE | Yaochu Jin,
Bernhard Sendhoff:
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept.
EvoWorkshops 2004: 525-536 |
| 25 | EE | Yaochu Jin,
Bernhard Sendhoff:
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles.
GECCO (1) 2004: 688-699 |
| 24 | EE | Razvan Enache,
Bernhard Sendhoff,
Markus Olhofer,
Martina Hasenjäger:
Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures.
PPSN 2004: 253-262 |
| 23 | EE | Georg Schneider,
Heiko Wersing,
Bernhard Sendhoff,
Edgar Körner:
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model.
PPSN 2004: 662-671 |
| 22 | EE | Tatsuya Okabe,
Yaochu Jin,
Markus Olhofer,
Bernhard Sendhoff:
On Test Functions for Evolutionary Multi-objective Optimization.
PPSN 2004: 792-802 |
| 21 | EE | Vineet R. Khare,
Xin Yao,
Bernhard Sendhoff:
Credit Assignment Among Neurons in Co-evolving Populations.
PPSN 2004: 882-891 |
| 20 | EE | Hans-Georg Beyer,
Markus Olhofer,
Bernhard Sendhoff:
On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model Analysis.
Genetic Programming and Evolvable Machines 5(4): 327-360 (2004) |
| 2003 |
|---|
| 19 | EE | Yaochu Jin,
Bernhard Sendhoff:
Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach.
EMO 2003: 237-251 |
| 18 | EE | Yaochu Jin,
Tatsuya Okabe,
Bernhard Sendhoff:
Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis.
GECCO 2003: 636-637 |
| 17 | EE | Tatsuya Okabe,
Kwasi Foli,
Markus Olhofer,
Yaochu Jin,
Bernhard Sendhoff:
Comparative studies on micro heat exchanger optimisation.
IEEE Congress on Evolutionary Computation (1) 2003: 647-654 |
| 16 | EE | Lars Willmes,
Thomas Bäck,
Yaochu Jin,
Bernhard Sendhoff:
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization.
IEEE Congress on Evolutionary Computation (1) 2003: 663-670 |
| 15 | | Yaochu Jin,
Bernhard Sendhoff:
Extracting Interpretable Fuzzy Rules from RBF Networks.
Neural Processing Letters 17(2): 149-164 (2003) |
| 2002 |
|---|
| 14 | | Yaochu Jin,
Bernhard Sendhoff:
Fitness Approximation In Evolutionary Computation - a Survey.
GECCO 2002: 1105-1112 |
| 13 | | Tatsuya Okabe,
Yaochu Jin,
Bernhard Sendhoff:
On The Dynamics Of Evolutionary Multi-objective Optimization.
GECCO 2002: 247-256 |
| 12 | | Yaochu Jin,
Bernhard Sendhoff:
Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization.
GECCO 2002: 683 |
| 11 | | Yaochu Jin,
Markus Olhofer,
Bernhard Sendhoff:
A framework for evolutionary optimization with approximate fitness functions.
IEEE Trans. Evolutionary Computation 6(5): 481-494 (2002) |
| 2001 |
|---|
| 10 | EE | Yaochu Jin,
Tatsuya Okabe,
Bernhard Sendhoff:
Adapting Weighted Aggregation for Multiobjective Evolution Strategies.
EMO 2001: 96-110 |
| 2000 |
|---|
| 9 | | Yaochu Jin,
Markus Olhofer,
Bernhard Sendhoff:
On Evolutionary Optimization with Approximate Fitness Functions.
GECCO 2000: 786-793 |
| 1999 |
|---|
| 8 | | Yaochu Jin,
Werner von Seelen,
Bernhard Sendhoff:
On generating FC3 fuzzy rule systems from data using evolution strategies.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(6): 829-845 (1999) |
| 7 | | Bernhard Sendhoff,
Martin Kreutz:
A Model for the Dynamic Interaction Between Evolution and Learning.
Neural Processing Letters 10(3): 181-193 (1999) |
| 6 | | Yaochu Jin,
Bernhard Sendhoff:
Knowledge Incorporation into Neural Networks From Fuzzy Rules.
Neural Processing Letters 10(3): 231-242 (1999) |
| 1998 |
|---|
| 5 | EE | Martin Kreutz,
Anja M. Reimetz,
Bernhard Sendhoff,
Claus Weihs,
Werner von Seelen:
Optimisation of Density Estimation Models with Evolutionary Algorithms.
PPSN 1998: 998-1007 |
| 1997 |
|---|
| 4 | | Peter Stagge,
Bernhard Sendhoff:
An Extended Elman Net for Modeling Time Series.
ICANN 1997: 427-432 |
| 3 | | Bernhard Sendhoff,
Martin Kreutz,
Werner von Seelen:
A Condition for the Genotype-Phenotype Mapping: Causality.
ICGA 1997: 73-80 |
| 1996 |
|---|
| 2 | | Christoph von der Malsburg,
Werner von Seelen,
Jan C. Vorbrüggen,
Bernhard Sendhoff:
Artificial Neural Networks - ICANN 96, 1996 International Conference, Bochum, germany, July 16-19, 1996, Proceedings
Springer 1996 |
| 1 | | Bernhard Sendhoff,
Martin Kreutz:
Analysis of Possible Genome-Dependence of Mutation Rates in Genetic Algorithms.
Evolutionary Computing, AISB Workshop 1996: 257-268 |
