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ORCIDGünter Rudolph
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- affiliation: Technical University of Dortmund, Germany
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2020 – today
- 2022
[j26]Frederik Rehbach
, Martin Zaefferer, Andreas Fischbach, Günter Rudolph, Thomas Bartz-Beielstein:
Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm. IEEE Trans. Evol. Comput. 26(6): 1365-1379 (2022)- [c99]Jurij Kuzmic, Günter Rudolph:
Real-time Distance Measurement in a 2D Image on Hardware with Limited Resources for Low-power IoT Devices (Radar Control System). DeLTA 2022: 94-101 - [c98]Jurij Kuzmic, Patrick Brinkmann, Günter Rudolph:
Real-Time Object Detection with Intel NCS2 on Hardware with Limited Resources for Low-power IoT Devices. IoTBDS 2022: 110-118 - [e9]Günter Rudolph, Anna V. Kononova, Hernán E. Aguirre, Pascal Kerschke, Gabriela Ochoa, Tea Tusar:
Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13398, Springer 2022, ISBN 978-3-031-14713-5 [contents] - [e8]Günter Rudolph, Anna V. Kononova, Hernán E. Aguirre, Pascal Kerschke, Gabriela Ochoa, Tea Tusar:
Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13399, Springer 2022, ISBN 978-3-031-14720-3 [contents] - 2021
- [j25]Fabian Ostermann, Igor Vatolkin, Günter Rudolph:
Evaluating Creativity in Automatic Reactive Accompaniment of Jazz Improvisation. Trans. Int. Soc. Music. Inf. Retr. 4(1): 210 (2021) - [c97]Marius Bommert, Günter Rudolph:
Kernel Density Estimation for Reliable Biobjective Solution of Stochastic Problems. EMO 2021: 53-64 - [c96]Jurij Kuzmic, Günter Rudolph:
Object Detection with TensorFlow on Hardware with Limited Resources for Low-power IoT Devices. IJCCI 2021: 302-309 - [c95]Jurij Kuzmic, Günter Rudolph:
Comparison between Filtered Canny Edge Detector and Convolutional Neural Network for Real Time Lane Detection in a Unity 3D Simulator. IoTBDS 2021: 148-155 - [c94]Igor Vatolkin, Philipp Ginsel, Günter Rudolph:
Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade. SIGIR 2021: 2383-2389 - 2020
- [c93]Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann:
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. CEC 2020: 1-8 - [c92]Philipp Ginsel, Igor Vatolkin, Günter Rudolph:
Analysis of Structural Complexity Features for Music Genre Recognition. CEC 2020: 1-8 - [c91]Mohammad Hamdan, Günter Rudolph, Nicola Hochstrate:
A Parallel Evolutionary System for Multi-objective Optimisation. CEC 2020: 1-9 - [c90]Frederik Heerde, Igor Vatolkin, Günter Rudolph:
Comparing Fuzzy Rule Based Approaches for Music Genre Classification. EvoMUSART 2020: 35-48 - [c89]Jurij Kuzmic, Günter Rudolph:
Unity 3D Simulator of Autonomous Motorway Traffic Applied to Emergency Corridor Building. IoTBDS 2020: 197-204 - [c88]Marius Bommert, Günter Rudolph:
Reliable Solution of Multidimensional Stochastic Problems Using Metamodels. LOD (1) 2020: 215-226 - [i8]Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann:
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. CoRR abs/2005.13865 (2020) - [i7]Carlos M. Fonseca, Kathrin Klamroth, Günter Rudolph, Margaret M. Wiecek:
Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031). Dagstuhl Reports 10(1): 52-129 (2020)
2010 – 2019
- 2019
- [j24]Martin Zaefferer, Thomas Bartz-Beielstein, Günter Rudolph:
An empirical approach for probing the definiteness of kernels. Soft Comput. 23(21): 10939-10952 (2019) - [c87]Jakob Bossek, Christian Grimme, Stephan Meisel, Günter Rudolph, Heike Trautmann:
Bi-objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. EMO 2019: 516-528 - [c86]Marius Bommert, Günter Rudolph:
Reliable Biobjective Solution of Stochastic Problems Using Metamodels. EMO 2019: 581-592 - [c85]Jurij Kuzmic, Günter Rudolph, Walter Roth, Michael Rübsam:
IoT based Driver Information System for Monitoring the Load Securing. IoTBDS 2019: 262-269 - [c84]Chen Du, Yifan Chen, Zhiyong Li, Günter Rudolph:
Joint Optimization of Offloading and Communication Resources in Mobile Edge Computing. SSCI 2019: 2729-2734 - [c83]Ziqing Cheng, Qi Wang, Zhiyong Li, Günter Rudolph:
Computation Offloading and Resource Allocation for Mobile Edge Computing. SSCI 2019: 2735-2740 - 2018
- [c82]Jakob Bossek, Christian Grimme, Stephan Meisel, Günter Rudolph, Heike Trautmann:
Local search effects in bi-objective orienteering. GECCO 2018: 585-592 - [c81]Igor Vatolkin, Günter Rudolph:
Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures. ISMIR 2018: 554-560 - [i6]Martin Zaefferer, Thomas Bartz-Beielstein, Günter Rudolph:
An Empirical Approach For Probing the Definiteness of Kernels. CoRR abs/1807.03555 (2018) - [i5]Kathrin Klamroth, Joshua D. Knowles, Günter Rudolph, Margaret M. Wiecek:
Personalized Multiobjective Optimization: An Analytics Perspective (Dagstuhl Seminar 18031). Dagstuhl Reports 8(1): 33-99 (2018) - 2017
- [c80]Vanessa Volz, Günter Rudolph, Boris Naujoks:
Surrogate-Assisted Partial Order-Based Evolutionary Optimisation. EMO 2017: 639-653 - [c79]Simon Wessing, Rosa Pink, Kai Brandenbusch, Günter Rudolph:
Toward Step-Size Adaptation in Evolutionary Multiobjective Optimization. EMO 2017: 670-684 - [c78]Roman Kalkreuth, Günter Rudolph, Andre Droschinsky:
A New Subgraph Crossover for Cartesian Genetic Programming. EuroGP 2017: 294-310 - [c77]Fabian Ostermann, Igor Vatolkin, Günter Rudolph:
Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos. EvoMUSART 2017: 246-261 - [c76]Vanessa Volz, Günter Rudolph, Boris Naujoks:
Investigating uncertainty propagation in surrogate-assisted evolutionary algorithms. GECCO 2017: 881-888 - [c75]Florian Scholz, Igor Vatolkin, Günter Rudolph:
Singing Voice Detection across Different Music Genres. Semantic Audio 2017 - [e7]Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret M. Wiecek, Yaochu Jin, Christian Grimme:
Evolutionary Multi-Criterion Optimization - 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings. Lecture Notes in Computer Science 10173, Springer 2017, ISBN 978-3-319-54156-3 [contents] - 2016
- [j23]Günter Rudolph, Oliver Schütze, Christian Grimme, Christian Domínguez-Medina, Heike Trautmann:
Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Comput. Optim. Appl. 64(2): 589-618 (2016) - [j22]Oliver Schütze, Víctor Adrián Sosa-Hernández, Heike Trautmann, Günter Rudolph:
The hypervolume based directed search method for multi-objective optimization problems. J. Heuristics 22(3): 273-300 (2016) - [j21]Günter Rudolph, Simon Wessing:
Linear Time Estimators for Assessing Uniformity of Point Samples in Hypercubes. Informatica 27(2): 335-349 (2016) - [j20]ShaoMiao Chen, Zhiyong Li, Bo Yang, Günter Rudolph:
Quantum-Inspired Hyper-Heuristics for Energy-Aware Scheduling on Heterogeneous Computing Systems. IEEE Trans. Parallel Distributed Syst. 27(6): 1796-1810 (2016) - [c74]Roman Kalkreuth, Günter Rudolph, Jörg Krone:
More efficient evolution of small genetic programs in Cartesian Genetic Programming by using genotypie age. CEC 2016: 5052-5059 - [c73]Günter Rudolph, Oliver Schütze, Heike Trautmann:
On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. EvoApplications (2) 2016: 42-55 - [c72]Vanessa Volz, Günter Rudolph, Boris Naujoks:
Demonstrating the Feasibility of Automatic Game Balancing. GECCO 2016: 269-276 - [c71]Simon Wessing, Günter Rudolph, Dino A. Menges:
Comparing Asynchronous and Synchronous Parallelization of the SMS-EMOA. PPSN 2016: 558-567 - [p5]Simon Wessing, Günter Rudolph, Mike Preuss:
Assessing Basin Identification Methods for Locating Multiple Optima. Advances in Stochastic and Deterministic Global Optimization 2016: 53-70 - [i4]Vanessa Volz, Günter Rudolph, Boris Naujoks:
Demonstrating the Feasibility of Automatic Game Balancing. CoRR abs/1603.03795 (2016) - [i3]Vanessa Volz, Günter Rudolph, Boris Naujoks:
Surrogate-Assisted Partial Order-based Evolutionary Optimisation. CoRR abs/1611.00260 (2016) - 2015
- [j19]Mike Preuss, Günter Rudolph:
Conference Report on IEEE CIG 2014 [Conference Reports]. IEEE Comput. Intell. Mag. 10(1): 14-15 (2015) - [c70]Jan Quadflieg, Günter Rudolph, Mike Preuss:
How costly is a good compromise: Multi-objective TORCS controller parameter optimization. CIG 2015: 454-460 - [c69]Christian Grimme, Stephan Meisel, Heike Trautmann, Günter Rudolph, Martin Wölck:
Multi-objective Analysis of Approaches to Dynamic Routing of a Vehicle. ECIS 2015 - [c68]Víctor Adrián Sosa-Hernández, Oliver Schütze, Heike Trautmann, Günter Rudolph:
On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. EMO (2) 2015: 126-140 - [c67]Igor Vatolkin, Günter Rudolph, Claus Weihs:
Interpretability of Music Classification as a Criterion for Evolutionary Multi-objective Feature Selection. EvoMUSART 2015: 236-248 - [c66]Stephan Meisel, Christian Grimme, Jakob Bossek, Martin Wölck, Günter Rudolph, Heike Trautmann:
Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle. GECCO 2015: 425-432 - [c65]Jakob Bossek, Bernd Bischl, Tobias Wagner, Günter Rudolph:
Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. GECCO 2015: 1319-1326 - [c64]Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph:
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. GECCO (Companion) 2015: 1427-1428 - [c63]Igor Vatolkin, Günter Rudolph, Claus Weihs:
Evaluation of Album Effect for Feature Selection in Music Genre Recognition. ISMIR 2015: 169-175 - [c62]Kevin Majchrzak, Jan Quadflieg, Günter Rudolph:
Advanced Dynamic Scripting for Fighting Game AI. ICEC 2015: 86-99 - [c61]Víctor Adrián Sosa-Hernández, Adriana Lara, Heike Trautmann, Günter Rudolph, Oliver Schütze:
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems. NEO 2015: 281-330 - [c60]Roman Kalkreuth, Günter Rudolph, Jörg Krone:
Improving Convergence in Cartesian Genetic Programming Using Adaptive Crossover, Mutation and Selection. SSCI 2015: 1415-1422 - [p4]Mike Preuss, Simon Wessing, Günter Rudolph, Gabriele Sadowski:
Solving Phase Equilibrium Problems by Means of Avoidance-Based Multiobjectivization. Handbook of Computational Intelligence 2015: 1159-1171 - [i2]Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph:
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. CoRR abs/1503.07845 (2015) - [i1]Salvatore Greco, Kathrin Klamroth, Joshua D. Knowles, Günter Rudolph:
Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031). Dagstuhl Reports 5(1): 96-163 (2015) - 2014
- [j18]Jan Quadflieg, Mike Preuss, Günter Rudolph:
Driving as a human: a track learning based adaptable architecture for a car racing controller. Genet. Program. Evolvable Mach. 15(4): 433-476 (2014) - [c59]Mike Preuss, Philip Voll, André Bardow, Günter Rudolph:
Looking for Alternatives: Optimization of Energy Supply Systems without Superstructure. EvoApplications 2014: 177-188 - [c58]Günter Rudolph, Oliver Schütze, Christian Grimme, Heike Trautmann:
An Aspiration Set EMOA Based on Averaged Hausdorff Distances. LION 2014: 153-156 - [c57]Tobias Glasmachers, Boris Naujoks, Günter Rudolph:
Start Small, Grow Big? Saving Multi-objective Function Evaluations. PPSN 2014: 579-588 - 2013
- [j17]Alexandru Agapie, Mircea Agapie, Günter Rudolph, Gheorghita Zbaganu:
Convergence of Evolutionary Algorithms on the $n$ -Dimensional Continuous Space. IEEE Trans. Cybern. 43(5): 1462-1472 (2013) - [c56]Simon Wessing, Mike Preuss, Günter Rudolph:
Niching by multiobjectivization with neighbor information: Trade-offs and benefits. IEEE Congress on Evolutionary Computation 2013: 103-110 - [c55]Christian Domínguez-Medina, Günter Rudolph, Oliver Schütze, Heike Trautmann:
Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique. IEEE Congress on Evolutionary Computation 2013: 3190-3197 - [c54]Matthias Kuchem, Mike Preuss, Günter Rudolph:
Multi-objective assessment of pre-optimized build orders exemplified for StarCraft 2. CIG 2013: 1-8 - [c53]Igor Vatolkin, Günter Rudolph:
Interpretable Music Categorisation Based on Fuzzy Rules and High-Level Audio Features. ECDA 2013: 423-432 - [c52]Günter Rudolph, Heike Trautmann, Soumyadip Sengupta, Oliver Schütze:
Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. EMO 2013: 443-458 - [c51]Víctor Adrián Sosa-Hernández, Oliver Schütze, Günter Rudolph, Heike Trautmann:
Directed search method for indicator-based multi-objective evolutionary algorithms. GECCO (Companion) 2013: 1699-1702 - [c50]Günter Rudolph:
Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian. ICANNGA 2013: 151-160 - [p3]Verena Mattern, Igor Vatolkin, Günter Rudolph:
A Case Study About the Effort to Classify Music Intervals by Chroma and Spectrum Analysis. Algorithms from and for Nature and Life 2013: 519-528 - 2012
- [j16]Günter Rudolph, Heike Trautmann, Oliver Schütze:
Homogene Approximation der Paretofront bei mehrkriteriellen Kontrollproblemen. Autom. 60(10): 612-621 (2012) - [j15]Oliver Kramer, Christian Igel, Günter Rudolph:
Evolutionary kernel machines. Evol. Intell. 5(3): 151-152 (2012) - [j14]Igor Vatolkin, Mike Preuß, Günter Rudolph, Markus Eichhoff, Claus Weihs:
Multi-objective evolutionary feature selection for instrument recognition in polyphonic audio mixtures. Soft Comput. 16(12): 2027-2047 (2012) - [c49]Heike Trautmann, Günter Rudolph, Christian Domínguez-Medina, Oliver Schütze:
Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems. EVOLVE 2012: 89-105 - [c48]Igor Vatolkin, Bernd Bischl, Günter Rudolph, Claus Weihs:
Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition. GfKl 2012: 171-178 - [c47]Dimo Brockhoff, Manuel López-Ibáñez, Boris Naujoks, Günter Rudolph:
Runtime Analysis of Simple Interactive Evolutionary Biobjective Optimization Algorithms. PPSN (1) 2012: 123-132 - [p2]Günter Rudolph:
Evolutionary Strategies. Handbook of Natural Computing 2012: 673-698 - [p1]Günter Rudolph:
Stochastic Convergence. Handbook of Natural Computing 2012: 847-869 - 2011
- [j13]Holger Blume, Bernd Bischl, Martin Botteck, Christian Igel, Rainer Martin, Günther Rötter, Günter Rudolph, Wolfgang M. Theimer, Igor Vatolkin, Claus Weihs:
Huge Music Archives on Mobile Devices. IEEE Signal Process. Mag. 28(4): 24-39 (2011) - [c46]Günter Rudolph:
On geometrically fast convergence to optimal dominated hypervolume of set-based multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2011: 1719-1723 - [c45]Mike Preuss, Jan Quadflieg, Günter Rudolph:
TORCS sensor noise removal and multi-objective track selection for driving style adaptation. CIG 2011: 337-344 - [c44]Jan Quadflieg, Mike Preuss, Günter Rudolph:
Driving Faster Than a Human Player. EvoApplications (1) 2011: 143-152 - [c43]Nicola Beume, Marco Laumanns, Günter Rudolph:
Convergence rates of SMS-EMOA on continuous bi-objective problem classes. FOGA 2011: 243-252 - [c42]Igor Vatolkin, Mike Preuß, Günter Rudolph:
Multi-objective feature selection in music genre and style recognition tasks. GECCO 2011: 411-418 - [c41]Simon Wessing, Mike Preuss, Günter Rudolph:
When parameter tuning actually is parameter control. GECCO 2011: 821-828 - [c40]Olaf Mersmann, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, Günter Rudolph:
Exploratory landscape analysis. GECCO 2011: 829-836 - [c39]Frank Neumann, Pietro S. Oliveto, Günter Rudolph, Dirk Sudholt:
On the effectiveness of crossover for migration in parallel evolutionary algorithms. GECCO 2011: 1587-1594 - [c38]Thorsten Deinert, Igor Vatolkin, Günter Rudolph:
Regression-Based Tempo Recognition from Chroma and Energy Accents for Slow Audio Recordings. Semantic Audio 2011 - 2010
- [c37]Jan Quadflieg, Mike Preuss, Oliver Kramer, Günter Rudolph:
Learning the track and planning ahead in a car racing controller. CIG 2010: 395-402 - [c36]Mike Preuss, Günter Rudolph, Simon Wessing:
Tuning optimization algorithms for real-world problems by means of surrogate modeling. GECCO 2010: 401-408 - [c35]Nicola Beume, Marco Laumanns, Günter Rudolph:
Convergence Rates of (1+1) Evolutionary Multiobjective Optimization Algorithms. PPSN (1) 2010: 597-606 - [c34]Simon Wessing, Nicola Beume, Günter Rudolph, Boris Naujoks:
Parameter Tuning Boosts Performance of Variation Operators in Multiobjective Optimization. PPSN (1) 2010: 728-737 - [e6]Robert Schaefer, Carlos Cotta, Joanna Kolodziej, Günter Rudolph:
Parallel Problem Solving from Nature - PPSN XI, 11th International Conference, Kraków, Poland, September 11-15, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6238, Springer 2010, ISBN 978-3-642-15843-8 [contents] - [e5]Robert Schaefer, Carlos Cotta, Joanna Kolodziej, Günter Rudolph:
Parallel Problem Solving from Nature - PPSN XI, 11th International Conference, Kraków, Poland, September 11-15, 2010. Proceedings, Part II. Lecture Notes in Computer Science 6239, Springer 2010, ISBN 978-3-642-15870-4 [contents]
2000 – 2009
- 2009
- [j12]Zhiyong Li, Günter Rudolph, Kenli Li:
Convergence performance comparison of quantum-inspired multi-objective evolutionary algorithms. Comput. Math. Appl. 57(11-12): 1843-1854 (2009) - [c33]Igor Vatolkin, Wolfgang M. Theimer, Günter Rudolph:
Design and comparison of different evolution strategies for feature selection and consolidation in music classification. IEEE Congress on Evolutionary Computation 2009: 174-181 - [c32]Günter Rudolph, Mike Preuss:
A multiobjective approach for finding equivalent inverse images of Pareto-optimal objective vectors. MCDM 2009: 74-79 - [c31]Nicola Beume, Boris Naujoks, Mike Preuss, Günter Rudolph, Tobias Wagner:
Effects of 1-Greedy -Metric-Selection on Innumerably Large Pareto Fronts. EMO 2009: 21-35 - [c30]Patrick Koch, Oliver Kramer, Günter Rudolph, Nicola Beume:
On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization. GECCO 2009: 603-610 - [c29]Oliver Kramer, André Barthelmes, Günter Rudolph:
Surrogate Constraint Functions for CMA Evolution Strategies. KI 2009: 169-176 - 2008
- [j11]Nicola Beume, Boris Naujoks, Günter Rudolph:
SMS-EMOA - Effektive evolutionäre Mehrzieloptimierung (SMS-EMOA - Effective Evolutionary Multiobjective Optimization). Autom. 56(7): 357-364 (2008) - [j10]Frank Henrich, Claude Bouvy, Christoph Kausch, Klaus Lucas, Mike Preuß, Günter Rudolph, Peter Roosen:
Economic optimization of non-sharp separation sequences by means of evolutionary algorithms. Comput. Chem. Eng. 32(7): 1411-1432 (2008) - [c28]Madan Sathe, Günter Rudolph, Kalyanmoy Deb:
Design and validation of a hybrid interactive reference point method for multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 2909-2916 - [c27]Thomas Voß, Nicola Beume, Günter Rudolph, Christian Igel:
Scalarization versus indicator-based selection in multi-objective CMA evolution strategies. IEEE Congress on Evolutionary Computation 2008: 3036-3043 - [c26]El-Ghazali Talbi, Sanaz Mostaghim, Tatsuya Okabe, Hisao Ishibuchi, Günter Rudolph, Carlos A. Coello Coello:
Parallel Approaches for Multiobjective Optimization. Multiobjective Optimization 2008: 349-372 - [c25]Günter Rudolph, Hans-Paul Schwefel:
Simulated Evolution under Multiple Criteria Conditions Revisited. WCCI 2008: 249-261 - [e4]Günter Rudolph, Thomas Jansen, Simon M. Lucas, Carlo Poloni, Nicola Beume:
Parallel Problem Solving from Nature - PPSN X, 10th International Conference Dortmund, Germany, September 13-17, 2008, Proceedings. Lecture Notes in Computer Science 5199, Springer 2008, ISBN 978-3-540-87699-1 [contents] - 2007
- [c24]Mike Preuss, Günter Rudolph, Feelly Tumakaka:
Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection. IEEE Congress on Evolutionary Computation 2007: 2703-2710 - [c23]Günter Rudolph, Boris Naujoks, Mike Preuss:
Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets. EMO 2007: 36-50 - [c22]Zhiyong Li, Günter Rudolph:
A framework of quantum-inspired multi-objective evolutionary algorithms and its convergence condition. GECCO 2007: 908 - [c21]Zhiyong Li, Zhe Li, Günter Rudolph:
On the Convergence Properties of Quantum-Inspired Multi-Objective Evolutionary Algorithms. ICIC (3) 2007: 245-255 - [e3]Thomas Bartz-Beielstein, María J. Blesa Aguilera, Christian Blum, Boris Naujoks, Andrea Roli, Günter Rudolph, Michael Sampels:
Hybrid Metaheuristics, 4th International Workshop, HM 2007, Dortmund, Germany, October 8-9, 2007, Proceedings. Lecture Notes in Computer Science 4771, Springer 2007, ISBN 978-3-540-75513-5 [contents] - 2006
- [c20]Thomas Bartz-Beielstein, Mike Preuss, Günter Rudolph:
Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations. Hybrid Metaheuristics 2006: 178-191 - [c19]Nicola Beume, Günter Rudolph:
Faster s-metric calculation by considering dominated hypervolume as klee's measure problem. Computational Intelligence 2006: 233-238 - [c18]Mike Preuss, Boris Naujoks, Günter Rudolph:
Pareto Set and EMOA Behavior for Simple Multimodal Multiobjective Functions. PPSN 2006: 513-522 - [c17]Frank Hoffmann, Thomas Nierobisch, Torsten Seyffarth, Günter Rudolph:
Visual Servoing with Moments of SIFT Features. SMC 2006: 4262-4267 - 2002
- [j9]