Hans-Georg Beyer

发表

A Modified Matrix Adaptation Evolution Strategy with Restarts for Constrained Real-World Problems

Michael Hellwig, Hans-Georg Beyer, H. Beyer, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

A Note on the Escape Probabilities for Two Alternative Methods of Selection Under Gaussian Mutation

David B. Fogel, Hans-Georg Beyer, 1997, Evolutionary Programming.

Actuator Noise in Recombinant Evolution Strategies on General Quadratic Fitness Models

Hans-Georg Beyer, H. Beyer, 2004, GECCO.

04081 Abstracts Collection -- Theory of Evolutionary Algorithms

Hans-Georg Beyer, Michael D. Vose, Thomas Jansen, 2004 .

Design principles for matrix adaptation evolution strategies

Hans-Georg Beyer, H. Beyer, 2020, GECCO Companion.

Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings

Edmund K. Burke, L. Darrell Whitley, Hans-Georg Beyer, 2006, PPSN.

Toward a Theory of Evolution Strategies: The (, )-Theory

Hans-Georg Beyer, H. Beyer, 1994, Evolutionary Computation.

Concepts for the Analysis of the ES

Hans-Georg Beyer, 2001 .

Self-Adaptation in Real-Parameter Genetic Algorithms with Simulated Binary Crossover

Kalyanmoy Deb, Hans-Georg Beyer, K. Deb, 1999, GECCO.

Where Elitists Start Limping Evolution Strategies at Ridge Functions

Hans-Paul Schwefel, Hans-Georg Beyer, Ahmet Irfan Oyman, 1998, PPSN.

Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings

Edmund K. Burke, L. Darrell Whitley, Hans-Georg Beyer, 2006, Parallel Problem Solving from Nature.

On the performance of evolution strategies on noisy PDQFs: Progress rate analysis

Hans-Georg Beyer, Steffen Finck, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Toward a Theory of Evolution Strategies: On the Benefits of Sex the (/, ) Theory

Hans-Georg Beyer, H. Beyer, 1995, Evolutionary Computation.

On the steady state analysis of covariance matrix self-adaptation evolution strategies on the noisy ellipsoid model

Hans-Georg Beyer, Michael Hellwig, 2020, Theor. Comput. Sci..

Local Performance of the (μ/μ, μ)-ES in a Noisy Environment

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2000, FOGA.

On strategy parameter control by Meta-ES

Hans-Georg Beyer, Philip Masser, Martin Dobler, 2009, GECCO '09.

Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization pdf

Hans-Georg Beyer, Tobias Glasmachers, Ilya Loshchilov, 2017, ArXiv.

Performance analysis of evolution strategies with multi-recombination in high-dimensional RN-search spaces disturbed by noise

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2002, Theor. Comput. Sci..

The Theory of Evolution Strategies

Hans-Georg Beyer, H. Beyer, H. Beyer, 2001, Natural Computing Series.

Analysis of the (1, λ)-σ-Self-Adaptation Evolution Strategy with repair by projection applied to a conically constrained problem

Hans-Georg Beyer, Patrick Spettel, H. Beyer, 2019, Theor. Comput. Sci..

Towards a Theory of 'Evolution Strategies': Results for (1, +λ)-Strategies on (Nearly) Arbitrary Fitness Functions

Hans-Georg Beyer, H. Beyer, 1994, PPSN.

Parallel Problem Solving from Nature — PPSN VII

Juan Julián Merelo Guervós, Hans-Georg Beyer, José-Luis Fernández-Villacañas, 2002, Lecture Notes in Computer Science.

Parallel problem solving from nature - PPSN VII : 7th International Conference, Granada, Spain, September 7-11, 2002 : proceedings

Hans-Georg Beyer, José-Luis Fernández-Villacañas, Panagiotis Adamidis, 2002 .

Automatic Computer-Aided Optimization of Cavities for the Design of Accelerating Structures

Thomas Weiland, Hans-Georg Beyer, Min Zhang, 1992 .

Benchmarking evolutionary algorithms for single objective real-valued constrained optimization - A critical review

Hans-Georg Beyer, Michael Hellwig, H. Beyer, 2018, Swarm Evol. Comput..

A Comparison of Evolution Strategies with Other Direct Search Methods in the Presence of Noise

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2003, Comput. Optim. Appl..

The Dynamical Systems Approach - Progress Measures and Convergence Properties

Hans-Georg Beyer, Silja Meyer-Nieberg, H. Beyer, 2012, Handbook of Natural Computing.

Computational intelligence - evolutionäre Algortihmen : Begriffe und Definitionen

Bernhard Sendhoff, Hans-Georg Beyer, Hartmut Pohlheim, 2001 .

Probabilistic Wind Farm Group Forecasting using Bayesian Model Averaging

Hans-Georg Beyer, Pål Preede Revheim, 2015 .

Towards an Analysis of Self-Adaptive Evolution Strategies on the Noisy Ellipsoid Model

Hans-Georg Beyer, Alexander Melkozerov, 2015, GECCO.

On the Impact of Systematic Noise on the Evolutionary Optimization Performance—A Sphere Model Analysis

Bernhard Sendhoff, Markus Olhofer, Hans-Georg Beyer, 2004, Genetic Programming and Evolvable Machines.

Mutate Large, But Inherit Small! On the Analysis of Rescaled Mutations in 1-lambda-ES with Noisy Fitness Data

Hans-Georg Beyer, 1998, PPSN.

On the Behaviour of Evolution Strategies Optimising Cigar Functions

Hans-Georg Beyer, Dirk V. Arnold, 2010, Evolutionary Computation.

On the Behavior of (μ/μ1, λ)-ES Optimizing Functions Disturbed by Generalized Noise

Bernhard Sendhoff, Markus Olhofer, Hans-Georg Beyer, 2002, FOGA.

A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints

Hans-Georg Beyer, Michael Hellwig, Patrick Spettel, 2018, IEEE Transactions on Evolutionary Computation.

Analysis of the pcCMSA-ES on the noisy ellipsoid model

Hans-Georg Beyer, Michael Hellwig, 2017, GECCO.

Theory of evolution strategies - a tutorial

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2001 .

A Matrix Adaptation Evolution Strategy for Constrained Real-Parameter Optimization

Hans-Georg Beyer, Michael Hellwig, H. Beyer, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

On the Effects of Outliers on Evolutionary Optimization

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2003, IDEAL.

Evolution on trees: On the design of an evolution strategy for scenario-based multi-period portfolio optimization under transaction costs

Thomas Breuer, Hans-Georg Beyer, Steffen Finck, 2014, Swarm Evol. Comput..

Self-Adaptation in Evolutionary Algorithms

Hans-Georg Beyer, Silja Meyer-Nieberg, H. Beyer, 2007, Parameter Setting in Evolutionary Algorithms.

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000

David E. Goldberg, Lee Spector, Hans-Georg Beyer, 2002, GECCO.

Random Dynamics Optimum Tracking with Evolution Strategies

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2002, PPSN.

Evolution Strategies for Robust Optimization

Bernhard Sendhoff, Hans-Georg Beyer, B. Sendhoff, 2006, 2006 IEEE International Conference on Evolutionary Computation.

On the quality gain of (1, λ)-ES under fitness noise

Hans-Georg Beyer, Silja Meyer-Nieberg, 2004 .

Performance analysis of the simultaneous perturbation stochastic approximation algorithm on the noisy sphere model

Hans-Georg Beyer, Steffen Finck, H. Beyer, 2012, Theor. Comput. Sci..

Design optimization of a linear accelerator using evolution strategy: Solving a TSP-like optimization problem

Hans-Georg Beyer, H. Beyer, 1997 .

A New Approach for Predicting the Final Outcome of Evolution Strategy Optimization Under Noise

Hans-Georg Beyer, Dirk V. Arnold, Silja Meyer-Nieberg, 2005, Genetic Programming and Evolvable Machines.

On the Prediction of the Solution Quality in Noisy Optimization

Hans-Georg Beyer, Silja Meyer-Nieberg, H. Beyer, 2005, FOGA.

Genetic and Evolutionary Computation — GECCO 2003

J. van Leeuwen, Jan van Leeuwen, Mark Harman, 2003, Lecture Notes in Computer Science.

FOGA '11 : proceedings of the 2011 ACM/SIGEVO Foundations of Genetic Algorithms XI

Hans-Georg Beyer, William B. Langdon, 2011 .

On the Dynamics of EAs without Selection

Hans-Georg Beyer, H. Beyer, 1998, FOGA.

Proceedings of the 7th annual conference on Genetic and evolutionary computation

Hans-Georg Beyer, Una-May O'Reilly, 2005 .

Analysis of the (μ/μI,λ)-CSA-ES with Repair by Projection Applied to a Conically Constrained Problem

Hans-Georg Beyer, Patrick Spettel, 2019, Evolutionary Computation.

Self-adaptation on the Ridge Function Class: First Results for the Sharp Ridge

Hans-Georg Beyer, Silja Meyer-Nieberg, 2006, PPSN.

Functions with noise-induced multimodality: a test for evolutionary robust Optimization-properties and performance analysis

Bernhard Sendhoff, Hans-Georg Beyer, B. Sendhoff, 2006, IEEE Transactions on Evolutionary Computation.

Convergence behavior of the (1^+,Lambda) evolution strategy on the ridge functions

Hans-Paul Schwefel, Hans-Georg Beyer, A. Irfan Oyman, 2000 .

Analysis of a meta-ES on a conically constrained problem

Hans-Georg Beyer, Michael Hellwig, H. Beyer, 2019, GECCO.

A Covariance Matrix Self-Adaptation Evolution Strategy for Linear Constrained Optimization pdf

Hans-Georg Beyer, Michael Hellwig, Patrick Spettel, 2018, ArXiv.

The Dynamics of Evolution Strategies in the Optimization of Traveling Salesman Problems

Hans-Georg Beyer, Hans-Thomas Nürnberg, H. Beyer, 1997, Evolutionary Programming.

Self-adaptation of evolution strategies under noisy fitness evaluations

Hans-Georg Beyer, Silja Meyer-Nieberg, H. Beyer, 2006, Genetic Programming and Evolvable Machines.

Local performance measures

Hans-Georg Beyer, Gnter Rudolph, G. Rudolph, 1997 .

Noisy optimization: a theoretical strategy comparison of ES, EGS, SPSA & IF on the noisy sphere

Hans-Georg Beyer, Steffen Finck, Alexander Melkozerov, 2011, GECCO '11.

Evolution strategies – A comprehensive introduction

Hans-Paul Schwefel, Hans-Georg Beyer, H. Schwefel, 2002, Natural Computing.

PV/Wind Hybrid System for Low Emission Commercial Buildings of the Future - A Case Study in Norway

Hans-Georg Beyer, Anne Gerd Imenes, Valentina Vologni, 2011 .

Mutation strength control via meta evolution strategies on the ellipsoid model

Hans-Georg Beyer, Michael Hellwig, H. Beyer, 2016, Theor. Comput. Sci..

The simple genetic algorithm-foundations and theory [Book Reviews]

Hans-Georg Beyer, 2000, IEEE Transactions on Evolutionary Computation.

Large Scale Black-Box Optimization by Limited-Memory Matrix Adaptation

Hans-Georg Beyer, Tobias Glasmachers, Ilya Loshchilov, 2019, IEEE Transactions on Evolutionary Computation.

Erratum to “On the Design of Constraint Covariance Matrix Self-Adaptation Evolution Strategies Including a Cardinality Constraint” [Aug 12 578-596]

Hans-Georg Beyer, Steffen Finck, 2012, IEEE Transactions on Evolutionary Computation.

A comprehensive introduction

Hans-Paul Schwefel, Hans-Georg Beyer, H. Schwefel, 2002 .

On the analysis of self-adaptive recombination strategies: first results

Hans-Georg Beyer, Silja Meyer-Nieberg, H. Beyer, 2005, 2005 IEEE Congress on Evolutionary Computation.

Why noise may be good: additive noise on the sharp ridge

Hans-Georg Beyer, Silja Meyer-Nieberg, H. Beyer, 2008, GECCO '08.

A general noise model and its effects on evolution strategy performance

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2006, IEEE Transactions on Evolutionary Computation.

Benchmarking SPSA on BBOB-2010 noiseless function testbed

Hans-Georg Beyer, Steffen Finck, H. Beyer, 2010, GECCO '10.

Fitness Noise and Localization Errors of the Optimum in General Quadratic Fitness Models

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 1999, GECCO.

Predicting the Solution Quality in Noisy Optimization

Hans-Georg Beyer, Silja Meyer-Nieberg, 2004 .

The Dynamics of Self-Adaptive Multirecombinant Evolution Strategies on the General Ellipsoid Model

Hans-Georg Beyer, Alexander Melkozerov, H. Beyer, 2014, IEEE Transactions on Evolutionary Computation.

On the "Explorative Power" of ES/EP-like Algorithms

Hans-Georg Beyer, 1998, Evolutionary Programming.

On the behaviour of weighted multi-recombination evolution strategies optimising noisy cigar functions

Hans-Georg Beyer, Dirk V. Arnold, Alexander Melkozerov, 2009, GECCO '09.

Special Issue: Best of GECCO 2005

Hans-Georg Beyer, 2006, Natural Computing.

Efficiency and mutation strength adaptation of the (μ/μI, λ)-ES in a noisy environment

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2000 .

sigma-Self-Adaptive Weighted Multirecombination Evolution Strategy with Scaled Weights on the Noisy Sphere

Hans-Georg Beyer, Alexander Melkozerov, H. Beyer, 2008, PPSN.

Benchmarking SPSA on BBOB-2010 noisy function testbed

Hans-Georg Beyer, Steffen Finck, H. Beyer, 2010, GECCO '10.

Convergence Analysis of Evolutionary Algorithms That Are Based on the Paradigm of Information Geometry

Hans-Georg Beyer, H. Beyer, 2014, Evolutionary Computation.

Matrix adaptation evolution strategies for optimization under nonlinear equality constraints

Hans-Georg Beyer, Patrick Spettel, H. Beyer, 2020, Swarm Evol. Comput..

Genetic and Evolutionary Computation — GECCO 2003

Julian F. Miller, Mark Harman, Kathryn A. Dowsland, 2003, Lecture Notes in Computer Science.

Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES

Hans-Georg Beyer, Michael Hellwig, H. Beyer, 2016, PPSN.

A Linear Constrained Optimization Benchmark For Probabilistic Search Algorithms: The Rotated Klee-Minty Problem

Hans-Georg Beyer, Michael Hellwig, 2018, TPNC.

The Steady State Behavior of (µ/µI, lambda)-ES on Ellipsoidal Fitness Models Disturbed by Noise

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2003, GECCO.

Fundamental Concepts of Evolutionary Computation

Zbigniew Michalewicz, Günter Rudolph, Kalyanmoy Deb, 1997 .

Qualms Regarding the Optimality of Cumulative Path Length Control in CSA/CMA-Evolution Strategies

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2003, Evolutionary Computation.

Evolution strategies

Hans-Georg Beyer, H. Beyer, 2007, Scholarpedia.

Toward a Steady-State Analysis of an Evolution Strategy on a Robust Optimization Problem With Noise-Induced Multimodality

Bernhard Sendhoff, Hans-Georg Beyer, B. Sendhoff, 2017, IEEE Transactions on Evolutionary Computation.

Analysis of the $(\mu/\mu_{I},\lambda)-\sigma$ -Self-Adaptation Evolution Strategy With Repair by Projection Applied to a Conically Constrained Problem

Hans-Georg Beyer, Patrick Spettel, 2020, IEEE Transactions on Evolutionary Computation.

On the Asymptotic Behavior of Multirecombinant Evolution Strategies

Hans-Georg Beyer, H. Beyer, 1996, PPSN.

Efficiency and Mutation Strength Adaptation of the (mu, muI, lambda)-ES in a Noisy Environment

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2000, PPSN.

On the Benefits of Populations for Noisy Optimization

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2003, Evolutionary Computation.

Local performance of the (1 + 1)-ES in a noisy environment

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2002, IEEE Trans. Evol. Comput..

Robust Optimization - A Comprehensive Survey

Bernhard Sendhoff, Hans-Georg Beyer, B. Sendhoff, 2007 .

On self-adaptive features in real-parameter evolutionary algorithms

Kalyanmoy Deb, Hans-Georg Beyer, K. Deb, 2001, IEEE Trans. Evol. Comput..

Analysis of the (/, )-ES on the Parabolic Ridge

Hans-Georg Beyer, Ahmet Irfan Oyman, H. Beyer, 2000, Evolutionary Computation.

On the Quality Gain of (1, lambda)-ES Under Fitness Noise

Hans-Georg Beyer, Silja Meyer-Nieberg, H. Beyer, 2004, PPSN.

Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005

Hans-Georg Beyer, Una-May O'Reilly, 2005, GECCO.

The Influence of stochastic Quality Functions on Evolutionary Search

Bernhard Sendhoff, Markus Olhofer, Hans-Georg Beyer, 2002, SEAL.

Errata: Convergence Analysis of Evolutionary Algorithms That Are Based on the Paradigm of Information Geometry

Hans-Georg Beyer, H. Beyer, 2020, Evolutionary Computation.

Covariance Matrix Adaptation Revisited - The CMSA Evolution Strategy -

Bernhard Sendhoff, Hans-Georg Beyer, B. Sendhoff, 2008, PPSN.

Investigation of the (/spl mu/, /spl lambda/)-ES in the presence of noise

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Mutative σ-self-adaptation can beat cumulative step size adaptation when using weighted recombination

Hans-Georg Beyer, Alexander Melkozerov, 2008, GECCO '08.

Mutative self-adaptation on the sharp and parabolic ridge

Hans-Georg Beyer, Silja Meyer-Nieberg, H. Beyer, 2007, FOGA'07.

On the performance of (1, Lambda)-evolution strategies for the ridge function class

Hans-Georg Beyer, H. Beyer, 2001, IEEE Trans. Evol. Comput..

Efficiency and Mutation Strength Adaptation of the in a Noisy Environment

Hans-Georg Beyer, Dirk V. Arnold, 2000 .

Ein Evolutionsverfahren zur mathematischen Modellierung stationärer Zustände in dynamischen Systemen

Hans-Georg Beyer, H. Beyer, 1989 .

Performance analysis of evolutionary optimization with cumulative step length adaptation

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2004, IEEE Transactions on Automatic Control.

Proceedings of the 7th International Conference on Parallel Problem Solving from Nature

Juan Julián Merelo Guervós, Hans-Georg Beyer, José Luis Fernández-Villacañas Martín, 1996 .

On the performance of (1,l)-Evolution Strategies at the ridge function class

Hans-Georg Beyer, H. Beyer, 2001 .

Self-Adaptive Genetic Algorithms with Simulated Binary Crossover

Kalyanmoy Deb, Hans-Georg Beyer, K. Deb, 2001, Evolutionary Computation.

Assessment of synthetic winds through spectralmodeling and validation using FAST

Hans-Georg Beyer, Surya Teja Kandukuri, Abhijit Chougule, 2016 .

Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed

Hans-Georg Beyer, Steffen Finck, H. Beyer, 2010, GECCO '10.

On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms

Kalyanmoy Deb, Hans-Georg Beyer, K. Deb, 2000, PPSN.

Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample

Bernhard Sendhoff, Hans-Georg Beyer, B. Sendhoff, 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

Special Issue: Best of GECCO 2005

Hans-Georg Beyer, 2006, Genetic Programming and Evolvable Machines.

The Dynamics of Cumulative Step Size Adaptation on the Ellipsoid Model

Hans-Georg Beyer, Michael Hellwig, H. Beyer, 2016, Evolutionary Computation.

Controlling population size and mutation strength by Meta-ES under fitness noise

Hans-Georg Beyer, Michael Hellwig, 2013, FOGA XII '13.

Weighted recombination evolution strategy on a class of PDQF's

Hans-Georg Beyer, Steffen Finck, 2009, FOGA '09.

Expected sample moments of concomitants of selected order statistics

Hans-Georg Beyer, Dirk V. Arnold, 2005, Stat. Comput..

Steady state analysis of a multi-recombinative meta-ES on a conically constrained problem with comparison to σSA and CSA

Hans-Georg Beyer, Michael Hellwig, Patrick Spettel, 2019, FOGA '19.

HappyCat - A Simple Function Class Where Well-Known Direct Search Algorithms Do Fail

Hans-Georg Beyer, Steffen Finck, H. Beyer, 2012, PPSN.

On the analysis of self-adaptive evolution strategies on elliptic model: first results

Hans-Georg Beyer, Alexander Melkozerov, 2010, GECCO '10.

Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems

Hans-Georg Beyer, Detlev Heinemann, Elke Lorenz, 2009, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A multi-recombinative active matrix adaptation evolution strategy for constrained optimization

Hans-Georg Beyer, Patrick Spettel, H. Beyer, 2019, Soft Comput..

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

Hans-Georg Beyer, H. Beyer, 1992, Parallel Problem Solving from Nature.

Toward a Theory of Evolution Strategies: Some Asymptotical Results from the (1,+ )-Theory

Hans-Georg Beyer, H. Beyer, 1993, Evolutionary Computation.

A Simple Approach for Constrained Optimization - An Evolution Strategy that Evolves Rays

Hans-Georg Beyer, Patrick Spettel, H. Beyer, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Optimum Tracking with Evolution Strategies

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2006, Evolutionary Computation.

Simplify Your Covariance Matrix Adaptation Evolution Strategy

Bernhard Sendhoff, Hans-Georg Beyer, B. Sendhoff, 2017, IEEE Transactions on Evolutionary Computation.

Benchmarking Evolutionary Algorithms For Real-valued Constrained Optimization - A Critical Review pdf

Hans-Georg Beyer, Michael Hellwig, H. Beyer, 2018, ArXiv.

Evolution strategies with cumulative step length adaptation on the noisy parabolic ridge

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2008, Natural Computing.

Comparison of contemporary evolutionary algorithms on the rotated Klee-Minty problem

Hans-Georg Beyer, Michael Hellwig, Patrick Spettel, 2019, GECCO.

Toward a Theory of Evolution Strategies: Self-Adaptation

Hans-Georg Beyer, H. Beyer, 1995, Evolutionary Computation.

A Note on the Empirical Evaluation of Intermediate Recombination

David B. Fogel, Hans-Georg Beyer, D. Fogel, 1995, Evolutionary Computation.

How to analyse evolutionary algorithms

Hans-Paul Schwefel, Hans-Georg Beyer, Ingo Wegener, 2002, Theor. Comput. Sci..

Mutation strength control by meta-ES on the sharp ridge

Hans-Georg Beyer, Michael Hellwig, 2012, GECCO '12.

Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms

William B. Langdon, Hans-Georg Beyer, 2011, FOGA 2011.

On the Design of Constraint Covariance Matrix Self-Adaptation Evolution Strategies Including a Cardinality Constraint

Hans-Georg Beyer, Steffen Finck, H. Beyer, 2012, IEEE Transactions on Evolutionary Computation.

Benchmark Generator for CEC'2009 Competition on Dynamic Optimization

Xin Yao, Changhe Li, Shengxiang Yang, 2008 .

Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed

Hans-Georg Beyer, Steffen Finck, H. Beyer, 2010, GECCO '10.

Genetic and Evolutionary Computation – GECCO 2004

Riccardo Poli, Dirk Thierens, Gerhard Goos, 2004, Lecture Notes in Computer Science.

A matrix adaptation evolution strategy for optimization on general quadratic manifolds

Hans-Georg Beyer, Patrick Spettel, H. Beyer, 2021, GECCO.

Founding Editor-in-Chief

Uwe Aickelin, Zbigniew Michalewicz, Hussein A. Abbass, 2004 .

The Steady State Behavior of ( μ / μ I , λ )-ES on Ellipsoidal Fitness Models Disturbed by Noise

Hans-Georg Beyer, Dirk V. Arnold, H. Beyer, 2003 .

Minimazation of Multibunch-BBU in a Linac by Evolutionary Strategies

Thomas Weiland, Min Zhang, Hans-Georg Beyer, 1993 .

Toward a Theory of Evolution Strategies: On the Benefit of Sex - the (mu/mu, lambda)-Theory.

Hans-Georg Beyer, 1995 .