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Günter Rudolph
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- affiliation: Technical University of Dortmund, Germany
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2020 – today
- 2024
- [c103]Günter Rudolph, Markus Wagner:
Towards Adaptation in Multiobjective Evolutionary Algorithms for Integer Problems. CEC 2024: 1-8 - [c102]Jurij Kuzmic, Günter Rudolph, Fabian Ostermann
:
Emergency Corridor Building on Multi-Lane Motorways with Autonomous Model Cars. IoTBDS 2024: 321-328 - [c101]Frank Neumann, Günter Rudolph:
Archive-Based Single-Objective Evolutionary Algorithms for Submodular Optimization. PPSN (3) 2024: 166-180 - [i9]Frank Neumann, Günter Rudolph:
Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization. CoRR abs/2406.13414 (2024) - 2023
- [c100]Günter Rudolph:
Runtime Analysis of (1+1)-EA on a Biobjective Test Function in Unbounded Integer Search Space. SSCI 2023: 1380-1385 - 2022
- [j26]Frederik Rehbach
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
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
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
Evaluating Creativity in Automatic Reactive Accompaniment of Jazz Improvisation. Trans. Int. Soc. Music. Inf. Retr. 4(1): 210 (2021) - [c97]Marius Bommert
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
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
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
Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031). Dagstuhl Reports 10(1): 52-129 (2020)
2010 – 2019
- 2019
- [j24]Martin Zaefferer
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
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
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
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
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
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
Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Comput. Optim. Appl. 64(2): 589-618 (2016) - [j22]Oliver Schütze
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
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
More efficient evolution of small genetic programs in Cartesian Genetic Programming by using genotypie age. CEC 2016: 5052-5059 - [c73]Günter Rudolph, Oliver Schütze
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
On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. EMO (2) 2015: 126-140 - [c67]Igor Vatolkin
Interpretability of Music Classification as a Criterion for Evolutionary Multi-objective Feature Selection. EvoMUSART 2015: 236-248 - [c66]Stephan Meisel, Christian Grimme, Jakob Bossek
Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle. GECCO 2015: 425-432 - [c65]Jakob Bossek
Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. GECCO 2015: 1319-1326 - [c64]Luis Martí
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
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems. NEO 2015: 281-330 - [c60]Roman Kalkreuth
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
Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031). Dagstuhl Reports 5(1): 96-163 (2015) - 2014
- [j18]Jan Quadflieg, Mike Preuss
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
Looking for Alternatives: Optimization of Energy Supply Systems without Superstructure. EvoApplications 2014: 177-188 - [c58]Günter Rudolph, Oliver Schütze
An Aspiration Set EMOA Based on Averaged Hausdorff Distances. LION 2014: 153-156 - [c57]Tobias Glasmachers, Boris Naujoks
Start Small, Grow Big? Saving Multi-objective Function Evaluations. PPSN 2014: 579-588 - 2013
- [j17]Alexandru Agapie, Mircea Agapie, Günter Rudolph
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
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
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
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
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
Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition. GfKl 2012: 171-178 - [c47]Dimo Brockhoff, Manuel López-Ibáñez
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
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
Convergence rates of SMS-EMOA on continuous bi-objective problem classes. FOGA 2011: 243-252 - [c42]Igor Vatolkin
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
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
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
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
Convergence performance comparison of quantum-inspired multi-objective evolutionary algorithms. Comput. Math. Appl. 57(11-12): 1843-1854 (2009) - [c33]Igor Vatolkin
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
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
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
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
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
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
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
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]Klaus Weinert, Jörn Mehnen, Günter Rudolph:
Dynamic Neighborhood Structures in Parallel Evolution Strategies. Complex Syst. 13(3) (2002) - [e2]William B. Langdon, Erick Cantú-Paz, Keith E. Mathias, Rajkumar Roy, David Davis, Riccardo Poli, Karthik Balakrishnan, Vasant G. Honavar, Günter Rudolph, Joachim Wegener, Larry Bull, Mitchell A. Potter, Alan C. Schultz, Julian F. Miller, Edmund K. Burke, Natasa Jonoska:
GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002. Morgan Kaufmann 2002, ISBN 1-55860-878-8 [contents] - 2001
- [j8]Günter Rudolph
Self-adaptive mutations may lead to premature convergence. IEEE Trans. Evol. Comput. 5(4): 410-414 (2001) - 2000
- [c16]Günter Rudolph, Alexandru Agapie:
Convergence properties of some multi-objective evolutionary algorithms. CEC 2000: 1010-1016 - [c15]Günter Rudolph:
Takeover Times and Probabilities of Non-Generational Selection Rules. GECCO 2000: 903- - [e1]Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, Juan Julián Merelo Guervós
Parallel Problem Solving from Nature - PPSN VI, 6th International Conference, Paris, France, September 18-20, 2000, Proceedings. Lecture Notes in Computer Science 1917, Springer 2000, ISBN 3-540-41056-2 [contents]
1990 – 1999
- 1999
- [j7]A. E. Eiben, Günter Rudolph
Theory of Evolutionary Algorithms: A Bird's Eye View. Theor. Comput. Sci. 229(1): 3-9 (1999) - [c14]Günter Rudolph:
Self-adaptation and global convergence: a counter-example. CEC 1999: 646-651 - 1998
- [j6]Günter Rudolph
Finite Markov Chain Results in Evolutionary Computation: A Tour d'Horizon. Fundam. Informaticae 35(1-4): 67-89 (1998) - [c13]Günter Rudolph:
Evolutionary Search for Minimal Elements in Partially Ordered Finite Sets. Evolutionary Programming 1998: 345-353 - [c12]Günter Rudolph:
On Risky Methods for Local Selection under Noise. PPSN 1998: 169-177 - [c11]Marco Laumanns
A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study. PPSN 1998: 241-249 - 1997
- [b1]Günter Rudolph:
Convergence properties of evolutionary algorithms. Kovac 1997, ISBN 978-3-86064-554-3, pp. I-X, 1-286 - [j5]Günter Rudolph
Local convergence rates of simple evolutionary algorithms with Cauchy mutations. IEEE Trans. Evol. Comput. 1(4): 249-258 (1997) - [c10]Günter Rudolph:
Asymptotical Convergence Rates of Simple Evolutionary Algorithms under Factorizing Mutation Distributions. Artificial Evolution 1997: 223-236 - [c9]Günter Rudolph:
Reflections on Bandit Problems and Selection Methods in Uncertain Environments. ICGA 1997: 166-173 - 1996
- [j4]Günter Rudolph
How Mutation and Selection solve Long Path Problems in Polynomial Expected Time. Evol. Comput. 4(2): 195-205 (1996) - [c8]Günter Rudolph:
Convergence of Evolutionary Algorithms in General Search Spaces. International Conference on Evolutionary Computation 1996: 50-54 - [c7]Günter Rudolph:
On Interactive Evolutionary Algorithms and Stochastic Mealy Automata. PPSN 1996: 218-226 - [c6]Günter Rudolph, Joachim Sprave:
Significance of Locality and Selection Pressure in the Grand Deluge Evolutionary Algorithm. PPSN 1996: 686-695 - 1995
- [j3]George Yin, Günter Rudolph
Analyzing the (1, λ) Evolution Strategy via Stochastic Approximation Methods. Evol. Comput. 3(4): 473-489 (1995) - [c5]Hans-Paul Schwefel, Günter Rudolph:
Contemporary Evolution Strategies. ECAL 1995: 893-907 - 1994
- [j2]Günter Rudolph
Convergence analysis of canonical genetic algorithms. IEEE Trans. Neural Networks 5(1): 96-101 (1994) - [c4]Günter Rudolph:
Convergence of Non-Elitist Strategies. International Conference on Evolutionary Computation 1994: 63-66 - [c3]Günter Rudolph:
An Evolutionary Algorithm for Integer Programming. PPSN 1994: 139-148 - 1993
- [j1]Günter Rudolph
Massively Parallel Simulated Annealing and Its Relation to Evolutionary Algorithms. Evol. Comput. 1(4): 361-383 (1993) - 1992
- [c2]Günter Rudolph:
On Correlated Mutations in Evolution Strategies. PPSN 1992: 107-116 - 1990
- [c1]Günter Rudolph:
Global Optimization by Means of Distributed Evolution Strategies. PPSN 1990: 209-213
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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