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ORCIDHans-Georg Beyer
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- affiliation: Vorarlberg University of Applied Sciences, Austria
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2020 – today
- 2024
[c67]Amir Omeradzic, Hans-Georg Beyer:
Bias in Standard Self-Adaptive Evolution Strategies. CEC 2024: 1-8- [c66]Lisa Schönenberger, Hans-Georg Beyer:
Success Rate of Evolution Strategies on the Multimodal Griewank Function. CEC 2024: 1-8 - [i10]Michael Hellwig, Hans-Georg Beyer:
Analyzing design principles for competitive evolution strategies in constrained search spaces. CoRR abs/2405.05005 (2024) - [i9]Amir Omeradzic, Hans-Georg Beyer:
Mutation Strength Adaptation of the (μ/μI, λ)-ES for Large Population Sizes on the Sphere Function. CoRR abs/2408.09761 (2024) - [i8]Amir Omeradzic, Hans-Georg Beyer:
On the Interaction of Adaptive Population Control with Cumulative Step-Size Adaptation. CoRR abs/2410.00595 (2024) - 2023
- [j56]Amir Omeradzic
, Hans-Georg Beyer:
Progress analysis of a multi-recombinative evolution strategy on the highly multimodal Rastrigin function. Theor. Comput. Sci. 978: 114179 (2023) - [c65]Amir Omeradzic, Hans-Georg Beyer:
Convergence Properties of the (μ/μI, λ)-ES on the Rastrigin Function. FOGA 2023: 117-128 - [c64]Lisa Schönenberger, Hans-Georg Beyer:
On a Population Sizing Model for Evolution Strategies Optimizing the Highly Multimodal Rastrigin Function. GECCO 2023: 848-855 - [c63]Hans-Georg Beyer:
What You Always Wanted to Know About Evolution Strategies, But Never Dared to Ask. GECCO Companion 2023: 878-894 - 2022
- [j55]Patrick Spettel, Hans-Georg Beyer:
On the Design of a Matrix Adaptation Evolution Strategy for Optimization on General Quadratic Manifolds. ACM Trans. Evol. Learn. Optim. 2(3): 9:1-9:32 (2022) - [c62]Michael Hellwig, Hans-Georg Beyer:
Benchmarking ϵMAg-ES and BP-ϵMAg-ES on the bbob-constrained testbed. GECCO Companion 2022: 1717-1724 - [c61]Amir Omeradzic, Hans-Georg Beyer:
Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results. PPSN (2) 2022: 499-511 - 2021
- [c60]Patrick Spettel, Hans-Georg Beyer:
A matrix adaptation evolution strategy for optimization on general quadratic manifolds. GECCO 2021: 537-545 - 2020
- [j54]Patrick Spettel, Hans-Georg Beyer:
Analysis of the (μ/μI, λ)-CSA-ES with Repair by Projection Applied to a Conically Constrained Problem. Evol. Comput. 28(3): 463-488 (2020) - [j53]Hans-Georg Beyer:
Errata: Convergence Analysis of Evolutionary Algorithms That Are Based on the Paradigm of Information Geometry. Evol. Comput. 28(4): 709-710 (2020) - [j52]Patrick Spettel, Hans-Georg Beyer:
Matrix adaptation evolution strategies for optimization under nonlinear equality constraints. Swarm Evol. Comput. 54: 100653 (2020) - [j51]Michael Hellwig, Hans-Georg Beyer:
On the steady state analysis of covariance matrix self-adaptation evolution strategies on the noisy ellipsoid model. Theor. Comput. Sci. 832: 98-122 (2020) - [j50]Patrick Spettel, Hans-Georg Beyer:
Analysis of the $(\mu/\mu_{I}, \lambda)-\sigma$ -Self-Adaptation Evolution Strategy With Repair by Projection Applied to a Conically Constrained Problem. IEEE Trans. Evol. Comput. 24(3): 593-602 (2020) - [c59]Michael Hellwig, Hans-Georg Beyer:
A Modified Matrix Adaptation Evolution Strategy with Restarts for Constrained Real-World Problems. CEC 2020: 1-8 - [c58]Hans-Georg Beyer:
Design principles for matrix adaptation evolution strategies. GECCO Companion 2020: 682-700
2010 – 2019
- 2019
- [j49]Patrick Spettel, Hans-Georg Beyer:
A multi-recombinative active matrix adaptation evolution strategy for constrained optimization. Soft Comput. 23(16): 6847-6869 (2019) - [j48]Michael Hellwig, Hans-Georg Beyer:
Benchmarking evolutionary algorithms for single objective real-valued constrained optimization - A critical review. Swarm Evol. Comput. 44: 927-944 (2019) - [j47]Patrick Spettel, Hans-Georg Beyer:
Analysis of the (1, λ)-σ-Self-Adaptation Evolution Strategy with repair by projection applied to a conically constrained problem. Theor. Comput. Sci. 785: 30-45 (2019) - [j46]Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer:
Large Scale Black-Box Optimization by Limited-Memory Matrix Adaptation. IEEE Trans. Evol. Comput. 23(2): 353-358 (2019) - [j45]Patrick Spettel, Hans-Georg Beyer, Michael Hellwig:
A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints. IEEE Trans. Evol. Comput. 23(3): 514-524 (2019) - [c57]Patrick Spettel, Hans-Georg Beyer, Michael Hellwig:
Steady state analysis of a multi-recombinative meta-ES on a conically constrained problem with comparison to σSA and CSA. FOGA 2019: 43-57 - [c56]Michael Hellwig, Hans-Georg Beyer:
Analysis of a meta-ES on a conically constrained problem. GECCO 2019: 673-681 - [c55]Michael Hellwig, Patrick Spettel, Hans-Georg Beyer:
Comparison of contemporary evolutionary algorithms on the rotated Klee-Minty problem. GECCO (Companion) 2019: 1879-1887 - [i7]Patrick Spettel, Hans-Georg Beyer:
Analysis of the (μ/μI, λ)-CSA-ES with Repair by Projection Applied to a Conically Constrained Problem. CoRR abs/1901.07871 (2019) - 2018
- [c54]Michael Hellwig, Hans-Georg Beyer:
A Matrix Adaptation Evolution Strategy for Constrained Real-Parameter Optimization. CEC 2018: 1-8 - [c53]Patrick Spettel, Hans-Georg Beyer:
A Simple Approach for Constrained Optimization - An Evolution Strategy that Evolves Rays. CEC 2018: 1-8 - [c52]Michael Hellwig, Hans-Georg Beyer:
A Linear Constrained Optimization Benchmark for Probabilistic Search Algorithms: The Rotated Klee-Minty Problem. TPNC 2018: 139-151 - [i6]Michael Hellwig, Hans-Georg Beyer:
Benchmarking Evolutionary Algorithms For Real-valued Constrained Optimization - A Critical Review. CoRR abs/1806.04563 (2018) - [i5]Patrick Spettel, Hans-Georg Beyer, Michael Hellwig:
A Covariance Matrix Self-Adaptation Evolution Strategy for Linear Constrained Optimization. CoRR abs/1806.05845 (2018) - [i4]Michael Hellwig, Hans-Georg Beyer:
A Linear Constrained Optimization Benchmark For Probabilistic Search Algorithms: The Rotated Klee-Minty Problem. CoRR abs/1807.10068 (2018) - [i3]Patrick Spettel, Hans-Georg Beyer:
Analysis of the (μ/μI, λ)-σ-Self-Adaptation Evolution Strategy with Repair by Projection Applied to a Conically Constrained Problem. CoRR abs/1812.06300 (2018) - 2017
- [j44]Hans-Georg Beyer, Bernhard Sendhoff:
Toward a Steady-State Analysis of an Evolution Strategy on a Robust Optimization Problem With Noise-Induced Multimodality. IEEE Trans. Evol. Comput. 21(4): 629-643 (2017) - [j43]Hans-Georg Beyer, Bernhard Sendhoff:
Simplify Your Covariance Matrix Adaptation Evolution Strategy. IEEE Trans. Evol. Comput. 21(5): 746-759 (2017) - [c51]Hans-Georg Beyer, Michael Hellwig:
Analysis of the pcCMSA-ES on the noisy ellipsoid model. GECCO 2017: 689-696 - [i2]Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer:
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization. CoRR abs/1705.06693 (2017) - 2016
- [j42]Hans-Georg Beyer, Michael Hellwig:
The Dynamics of Cumulative Step Size Adaptation on the Ellipsoid Model. Evol. Comput. 24(1): 25-57 (2016) - [j41]Michael Hellwig, Hans-Georg Beyer:
Mutation strength control via meta evolution strategies on the ellipsoid model. Theor. Comput. Sci. 623: 160-179 (2016) - [c50]Michael Hellwig, Hans-Georg Beyer:
Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES. PPSN 2016: 26-36 - 2015
- [c49]Alexander Melkozerov, Hans-Georg Beyer:
Towards an Analysis of Self-Adaptive Evolution Strategies on the Noisy Ellipsoid Model. GECCO 2015: 297-304 - 2014
- [j40]Hans-Georg Beyer:
Convergence Analysis of Evolutionary Algorithms That Are Based on the Paradigm of Information Geometry. Evol. Comput. 22(4): 679-709 (2014) - [j39]Hans-Georg Beyer, Steffen Finck, Thomas Breuer:
Evolution on trees: On the design of an evolution strategy for scenario-based multi-period portfolio optimization under transaction costs. Swarm Evol. Comput. 17: 74-87 (2014) - [j38]Hans-Georg Beyer, Alexander Melkozerov:
The Dynamics of Self-Adaptive Multirecombinant Evolution Strategies on the General Ellipsoid Model. IEEE Trans. Evol. Comput. 18(5): 764-778 (2014) - 2013
- [c48]Hans-Georg Beyer, Michael Hellwig:
Controlling population size and mutation strength by Meta-ES under fitness noise. FOGA 2013: 11-24 - 2012
- [j37]Steffen Finck, Hans-Georg Beyer:
Performance analysis of the simultaneous perturbation stochastic approximation algorithm on the noisy sphere model. Theor. Comput. Sci. 419: 50-72 (2012) - [j36]Hans-Georg Beyer, Steffen Finck:
On the Design of Constraint Covariance Matrix Self-Adaptation Evolution Strategies Including a Cardinality Constraint. IEEE Trans. Evol. Comput. 16(4): 578-596 (2012) - [j35]Hans-Georg Beyer, Steffen Finck:
Erratum to "On the Design of Constraint Covariance Matrix Self-Adaptation Evolution Strategies Including a Cardinality Constraint". IEEE Trans. Evol. Comput. 16(5): 752 (2012) - [c47]Hans-Georg Beyer, Michael Hellwig:
Mutation strength control by meta-ES on the sharp ridge. GECCO 2012: 305-312 - [c46]Hans-Georg Beyer, Steffen Finck:
HappyCat - A Simple Function Class Where Well-Known Direct Search Algorithms Do Fail. PPSN (1) 2012: 367-376 - [p2]Silja Meyer-Nieberg, Hans-Georg Beyer:
The Dynamical Systems Approach - Progress Measures and Convergence Properties. Handbook of Natural Computing 2012: 741-814 - 2011
- [c45]Steffen Finck, Hans-Georg Beyer, Alexander Melkozerov:
Noisy optimization: a theoretical strategy comparison of ES, EGS, SPSA & IF on the noisy sphere. GECCO 2011: 813-820 - [e10]Hans-Georg Beyer, William B. Langdon:
Foundations of Genetic Algorithms, 11th International Workshop, FOGA 2011, Schwarzenberg, Austria, January 5-8, 2011, Proceedings. ACM 2011, ISBN 978-1-4503-0633-1 [contents] - 2010
- [j34]Dirk V. Arnold, Hans-Georg Beyer:
On the Behaviour of Evolution Strategies Optimising Cigar Functions. Evol. Comput. 18(4): 661-682 (2010) - [j33]Hans-Georg Beyer:
Editorial Introduction. Evol. Comput. 18(4): i (2010) - [j32]Hans-Georg Beyer, Steffen Finck:
Performance of the $(\mu /\mu _{I}, \lambda )\hbox {-}\sigma {\rm SA}$ -ES on a Class of PDQFs. IEEE Trans. Evol. Comput. 14(3): 400-418 (2010) - [c44]Alexander Melkozerov, Hans-Georg Beyer:
On the analysis of self-adaptive evolution strategies on elliptic model: first results. GECCO 2010: 369-376 - [c43]Steffen Finck, Hans-Georg Beyer:
Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed. GECCO (Companion) 2010: 1633-1640 - [c42]Steffen Finck, Hans-Georg Beyer:
Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed. GECCO (Companion) 2010: 1641-1648 - [c41]Steffen Finck, Hans-Georg Beyer:
Benchmarking SPSA on BBOB-2010 noiseless function testbed. GECCO (Companion) 2010: 1657-1664 - [c40]Steffen Finck, Hans-Georg Beyer:
Benchmarking SPSA on BBOB-2010 noisy function testbed. GECCO (Companion) 2010: 1665-1672
2000 – 2009
- 2009
- [j31]Elke Lorenz, Johannes Hurka, Detlev Heinemann, Hans-Georg Beyer:
Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2(1): 2-10 (2009) - [c39]Steffen Finck, Hans-Georg Beyer:
Weighted recombination evolution strategy on a class of PDQF's. FOGA 2009: 1-12 - [c38]Dirk V. Arnold, Hans-Georg Beyer, Alexander Melkozerov:
On the behaviour of weighted multi-recombination evolution strategies optimising noisy cigar functions. GECCO 2009: 483-490 - [c37]Hans-Georg Beyer, Martin Dobler, Christian Hämmerle, Philip Masser:
On strategy parameter control by Meta-ES. GECCO 2009: 499-506 - 2008
- [j30]Dirk V. Arnold, Hans-Georg Beyer:
Evolution strategies with cumulative step length adaptation on the noisy parabolic ridge. Nat. Comput. 7(4): 555-587 (2008) - [c36]Hans-Georg Beyer, Steffen Finck:
On the performance of evolution strategies on noisy PDQFs: Progress rate analysis. IEEE Congress on Evolutionary Computation 2008: 495-502 - [c35]Hans-Georg Beyer, Alexander Melkozerov:
Mutative sigma-self-adaptation can beat cumulative step size adaptation when using weighted recombination. GECCO 2008: 487-494 - [c34]Silja Meyer-Nieberg, Hans-Georg Beyer:
Why noise may be good: additive noise on the sharp ridge. GECCO 2008: 511-518 - [c33]Hans-Georg Beyer, Alexander Melkozerov:
sigma-Self-Adaptive Weighted Multirecombination Evolution Strategy with Scaled Weights on the Noisy Sphere. PPSN 2008: 11-20 - [c32]Hans-Georg Beyer, Bernhard Sendhoff:
Covariance Matrix Adaptation Revisited - The CMSA Evolution Strategy -. PPSN 2008: 123-132 - 2007
- [j29]Hans-Georg Beyer:
Evolution strategies. Scholarpedia 2(8): 1965 (2007) - [c31]Hans-Georg Beyer, Bernhard Sendhoff:
Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample. FOCI 2007: 17-24 - [c30]Silja Meyer-Nieberg, Hans-Georg Beyer:
Mutative Self-adaptation on the Sharp and Parabolic Ridge. FOGA 2007: 70-96 - [p1]Silja Meyer-Nieberg, Hans-Georg Beyer:
Self-Adaptation in Evolutionary Algorithms. Parameter Setting in Evolutionary Algorithms 2007: 47-75 - 2006
- [j28]Dirk V. Arnold, Hans-Georg Beyer:
Optimum Tracking with Evolution Strategies. Evol. Comput. 14(3): 291-308 (2006) - [j27]Hans-Georg Beyer:
Special Issue: Best of GECCO 2005. Genet. Program. Evolvable Mach. 7(2): 129-130 (2006) - [j26]Hans-Georg Beyer, Silja Meyer-Nieberg:
Self-adaptation of evolution strategies under noisy fitness evaluations. Genet. Program. Evolvable Mach. 7(4): 295-328 (2006) - [j25]Hans-Georg Beyer:
Special Issue: Best of GECCO 2005. Nat. Comput. 5(3): 225-227 (2006) - [j24]Dirk V. Arnold, Hans-Georg Beyer:
A general noise model and its effects on evolution strategy performance. IEEE Trans. Evol. Comput. 10(4): 380-391 (2006) - [j23]Hans-Georg Beyer, Bernhard Sendhoff:
Functions with noise-induced multimodality: a test for evolutionary robust Optimization-properties and performance analysis. IEEE Trans. Evol. Comput. 10(5): 507-526 (2006) - [c29]Hans-Georg Beyer, Bernhard Sendhoff:
Evolution Strategies for Robust Optimization. IEEE Congress on Evolutionary Computation 2006: 1346-1353 - [c28]Hans-Georg Beyer, Silja Meyer-Nieberg:
Self-adaptation on the Ridge Function Class: First Results for the Sharp Ridge. PPSN 2006: 72-81 - [e9]Hans-Georg Beyer, Thomas Jansen, Colin R. Reeves, Michael D. Vose:
Theory of Evolutionary Algorithms, 15.-20. February 2004. Dagstuhl Seminar Proceedings 04081, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006 [contents] - [e8]Thomas Philip Runarsson, Hans-Georg Beyer, Edmund K. Burke, Juan Julián Merelo Guervós, L. Darrell Whitley, Xin Yao:
Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Procedings. Lecture Notes in Computer Science 4193, Springer 2006, ISBN 3-540-38990-3 [contents] - 2005
- [j22]Hans-Georg Beyer, Dirk V. Arnold, Silja Meyer-Nieberg:
A New Approach for Predicting the Final Outcome of Evolution Strategy Optimization Under Noise. Genet. Program. Evolvable Mach. 6(1): 7-24 (2005) - [j21]Dirk V. Arnold, Hans-Georg Beyer:
Expected sample moments of concomitants of selected order statistics. Stat. Comput. 15(3): 241-250 (2005) - [c27]Silja Meyer-Nieberg, Hans-Georg Beyer:
On the analysis of self-adaptive recombination strategies: first results. Congress on Evolutionary Computation 2005: 2341-2348 - [c26]Hans-Georg Beyer, Silja Meyer-Nieberg:
On the Prediction of the Solution Quality in Noisy Optimization. FOGA 2005: 238-259 - [e7]Hans-Georg Beyer, Una-May O'Reilly:
Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005. ACM 2005, ISBN 1-59593-010-8 [contents] - 2004
- [j20]Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff:
On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model Analysis. Genet. Program. Evolvable Mach. 5(4): 327-360 (2004) - [j19]Dirk V. Arnold, Hans-Georg Beyer:
Performance analysis of evolutionary optimization with cumulative step length adaptation. IEEE Trans. Autom. Control. 49(4): 617-622 (2004) - [c25]Hans-Georg Beyer:
Actuator Noise in Recombinant Evolution Strategies on General Quadratic Fitness Models. GECCO (1) 2004: 654-665 - [c24]Hans-Georg Beyer, Silja Meyer-Nieberg:
On the Quality Gain of (1, lambda)-ES Under Fitness Noise. PPSN 2004: 1-10 - [e6]Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell:
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I. Lecture Notes in Computer Science 3102, Springer 2004, ISBN 3-540-22344-4 [contents] - [e5]Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell:
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part II. Lecture Notes in Computer Science 3103, Springer 2004, ISBN 3-540-22343-6 [contents] - [i1]Hans-Georg Beyer, Thomas Jansen, Colin R. Reeves, Michael D. Vose:
04081 Abstracts Collection - Theory of Evolutionary Algorithms. Theory of Evolutionary Algorithms 2004 - 2003
- [j18]Dirk V. Arnold, Hans-Georg Beyer:
A Comparison of Evolution Strategies with Other Direct Search Methods in the Presence of Noise. Comput. Optim. Appl. 24(1): 135-159 (2003) - [j17]Hans-Georg Beyer, Dirk V. Arnold:
Qualms Regarding the Optimality of Cumulative Path Length Control in CSA/CMA-Evolution Strategies. Evol. Comput. 11(1): 19-28 (2003) - [j16]Dirk V. Arnold, Hans-Georg Beyer:
On the Benefits of Populations for Noisy Optimization. Evol. Comput. 11(2): 111-127 (2003) - [c23]Hans-Georg Beyer, Dirk V. Arnold:
The Steady State Behavior of (µ/µI, lambda)-ES on Ellipsoidal Fitness Models Disturbed by Noise. GECCO 2003: 525-536 - [c22]Dirk V. Arnold, Hans-Georg Beyer:
On the Effects of Outliers on Evolutionary Optimization. IDEAL 2003: 151-160 - [e4]Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I. Lecture Notes in Computer Science 2723, Springer 2003, ISBN 3-540-40602-6 [contents] - [e3]Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II. Lecture Notes in Computer Science 2724, Springer 2003, ISBN 3-540-40603-4 [contents] - 2002
- [j15]Hans-Georg Beyer, Hans-Paul Schwefel:
Evolution strategies - A comprehensive introduction. Nat. Comput. 1(1): 3-52 (2002) - [j14]Hans-Georg Beyer, Hans-Paul Schwefel, Ingo Wegener:
How to analyse evolutionary algorithms. Theor. Comput. Sci. 287(1): 101-130 (2002) - [j13]Dirk V. Arnold, Hans-Georg Beyer:
Performance analysis of evolution strategies with multi-recombination in high-dimensional RN-search spaces disturbed by noise. Theor. Comput. Sci. 289(1): 629-647 (2002) - [j12]Dirk V. Arnold, Hans-Georg Beyer:
Local performance of the (1 + 1)-ES in a noisy environment. IEEE Trans. Evol. Comput. 6(1): 30-41 (2002) - [c21]Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff:
On the Behavior of (μ/μ1, λ)-ES Optimizing Functions Disturbed by Generalized Noise. FOGA 2002: 307-328 - [c20]Dirk V. Arnold, Hans-Georg Beyer:
Random Dynamics Optimum Tracking with Evolution Strategies. PPSN 2002: 3-12 - [c19]Bernhard Sendhoff, Hans-Georg Beyer, Markus Olhofer:
The Influence of stochastic Quality Functions on Evolutionary Search. SEAL 2002: 152-172 - [e2]Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José Luis Fernández-Villacañas Martín, Hans-Paul Schwefel:
Parallel Problem Solving from Nature - PPSN VII, 7th International Conference, Granada, Spain, September 7-11, 2002, Proceedings. Lecture Notes in Computer Science 2439, Springer 2002, ISBN 3-540-44139-5 [contents] - 2001
- [b2]Hans-Georg Beyer:
The theory of evolution strategies. Natural computing series, Springer 2001, ISBN 978-3-540-67297-5, pp. I-XIX, 1-380 - [j11]Kalyanmoy Deb, Hans-Georg Beyer:
Self-Adaptive Genetic Algorithms with Simulated Binary Crossover. Evol. Comput. 9(2): 197-221 (2001) - [j10]Hans-Georg Beyer:
On the performance of (1, Lambda)-evolution strategies for the ridge function class. IEEE Trans. Evol. Comput. 5(3): 218-235 (2001) - [j9]Hans-Georg Beyer, Kalyanmoy Deb:
On self-adaptive features in real-parameter evolutionary algorithms. IEEE Trans. Evol. Comput. 5(3): 250-270 (2001) - [c18]Dirk V. Arnold, Hans-Georg Beyer:
Investigation of the (μ, λ)-ES in the presence of noise. CEC 2001: 332-339 - [c17]Sandor Markon, Dirk V. Arnold, Thomas Bäck, Thomas Beielstein, Hans-Georg Beyer:
Thresholding-a selection operator for noisy ES. CEC 2001: 465-472 - 2000
- [j8]Ahmet Irfan Oyman, Hans-Georg Beyer, Hans-Paul Schwefel:
Analysis of the (1, lambda)-ES on the Parabolic Ridge. Evol. Comput. 8(3): 249-265 (2000) - [j7]Ahmet Irfan Oyman, Hans-Georg Beyer:
Analysis of the (µ/µ, lambda)-ES on the Parabolic Ridge. Evol. Comput. 8(3): 267-289 (2000) - [j6]Hans-Georg Beyer:
The simple genetic algorithm-foundations and theory. IEEE Trans. Evol. Comput. 4(2): 191-192 (2000) - [c16]Dirk V. Arnold, Hans-Georg Beyer:
Local Performance of the (μ/μ, μ)-ES in a Noisy Environment. FOGA 2000: 127-141 - [c15]Dirk V. Arnold, Hans-Georg Beyer:
Efficiency and Mutation Strength Adaptation of the (mu, muI, lambda)-ES in a Noisy Environment. PPSN 2000: 39-48 - [c14]Hans-Georg Beyer, Kalyanmoy Deb:
On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms. PPSN 2000: 59-68 - [e1]L. Darrell Whitley, David E. Goldberg, Erick Cantú-Paz, Lee Spector, Ian C. Parmee, Hans-Georg Beyer:
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000. Morgan Kaufmann 2000, ISBN 1-55860-708-0 [contents]
1990 – 1999
- 1999
- [c13]Ahmet Irfan Oyman, Kalyanmoy Deb, Hans-Georg Beyer:
An alternative constraint handling method for evolution strategies. CEC 1999: 612-622 - [c12]Lothar Gruenz, Hans-Georg Beyer:
Some observations on the interaction of recombination and self-adaptation in evolution strategies. CEC 1999: 639-645 - [c11]Kalyanmoy Deb, Hans-Georg Beyer:
Self-Adaptation in Real-Parameter Genetic Algorithms with Simulated Binary Crossover. GECCO 1999: 172-179 - [c10]Hans-Georg Beyer, Dirk V. Arnold:
Fitness Noise and Localization Errors of the Optimum in General Quadratic Fitness Models. GECCO 1999: 817-824 - 1998
- [c9]Hans-Georg Beyer:
On the "Explorative Power" of ES/EP-like Algorithms. Evolutionary Programming 1998: 323-334 - [c8]Hans-Georg Beyer:
On the Dynamics of EAs without Selection. FOGA 1998: 5-26 - [c7]Ahmet Irfan Oyman, Hans-Georg Beyer, Hans-Paul Schwefel:
Where Elitists Start Limping Evolution Strategies at Ridge Functions. PPSN 1998: 34-46 - [c6]Hans-Georg Beyer:
Mutate Large, But Inherit Small! On the Analysis of Rescaled Mutations in 1-lambda-ES with Noisy Fitness Data. PPSN 1998: 109-118 - 1997
- [c5]Hans-Georg Beyer, David B. Fogel:
A Note on the Escape Probabilities for Two Alternative Methods of Selection Under Gaussian Mutation. Evolutionary Programming 1997: 265-274 - [c4]Hans-Thomas Nürnberg, Hans-Georg Beyer:
The Dynamics of Evolution Strategies in the Optimization of Traveling Salesman Problems. Evolutionary Programming 1997: 349-360 - 1996
- [c3]Hans-Georg Beyer:
On the Asymptotic Behavior of Multirecombinant Evolution Strategies. PPSN 1996: 122-133 - 1995
- [j5]Hans-Georg Beyer:
Toward a Theory of Evolution Strategies: On the Benefit of Sex - the (mu/mu, lambda)-Theory. Evol. Comput. 3(1): 81-111 (1995) - [j4]Hans-Georg Beyer:
Towards a Theory of Evolution Strategies: Self-Adaptation. Evol. Comput. 3(3): 311-347 (1995) - [j3]David B. Fogel, Hans-Georg Beyer:
A Note on the Empirical Evaluation of Intermediate Recombination. Evol. Comput. 3(4): 491-495 (1995) - 1994
- [j2]Hans-Georg Beyer:
Toward a Theory of Evolution Strategies: The (mue, lambda)-Theory. Evol. Comput. 2(4): 381-407 (1994) - [c2]Hans-Georg Beyer:
Towards a Theory of 'Evolution Strategies': Results for (1, +λ)-Strategies on (Nearly) Arbitrary Fitness Functions. PPSN 1994: 58-67 - 1993
- [j1]Hans-Georg Beyer:
Toward a Theory of Evolution Strategies: Some Asymptotical Results from the (1, +lambda)-Theory. Evol. Comput. 1(2): 165-188 (1993) - 1992
- [c1]Hans-Georg Beyer:
Some Aspects of the 'Evolution Strategiy' for Solving TSP-Like Optimization Problems Appearing at the Design Studies of a 0.5 TeV e+e--Linear Collider. PPSN 1992: 363-372
1980 – 1989
- 1989
- [b1]Hans-Georg Beyer:
Ein Evolutionsverfahren zur mathematischen Modellierung stationärer Zustände in dynamischen Systemen. Hochschule für Architektur u. Bauwesen, Weimar, Germany, 1989
Coauthor Index
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