Dimo Brockhoff

发表

Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

Pattern identification in pareto-set approximations

Eckart Zitzler, Dimo Brockhoff, Tamara Ulrich, 2008, GECCO '08.

Calibrating Traffic Simulations as an Application of CMA-ES in Continuous Blackbox Optimization: First Results

Anne Auger, Fabrice Marchal, Dimo Brockhoff, 2010 .

GECCO Companion ’15: Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference

Dirk Sudholt, Gisele L. Pappa, Youhei Akimoto, 2015 .

Preference Articulation by Means of the R2 Indicator

Heike Trautmann, Dimo Brockhoff, Tobias Wagner, 2013, EMO.

2 Indicator-Based Multiobjective Search

Heike Trautmann, Dimo Brockhoff, Tobias Wagner, 2015, Evolutionary Computation.

Using Comparative Preference Statements in Hypervolume-Based Interactive Multiobjective Optimization

Souhila Kaci, Dimo Brockhoff, Youssef Hamadi, 2014, LION.

GECCO’2011 Tutorial on Evolutionary Multiobjective Optimization

Eckart Zitzler, Dimo Brockhoff, E. Zitzler, 2011 .

On Objective Conflicts and Objective Reduction in Multiple Criteria Optimization

Eckart Zitzler, Dimo Brockhoff, 2006 .

Session details: BBOB'15 Workshop

Anne Auger, Youhei Akimoto, Dimo Brockhoff, 2015, GECCO 2015.

Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point

Anne Auger, Eckart Zitzler, Johannes Bader, 2009, FOGA '09.

Investigating the impact of sequential selection in the (1,2)-CMA-ES on the noiseless BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

GECCO 2017 tutorial on evolutionary multiobjective optimization

Dimo Brockhoff, D. Brockhoff, 2017, GECCO.

Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

Investigating the impact of sequential selection in the (1,2)-CMA-ES on the noisy BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

Theoretically Investigating Optimal µ-Distributions for the Hypervolume Indicator: First Results for Three Objectives

Anne Auger, Johannes Bader, Dimo Brockhoff, 2010, PPSN.

Runtime Analysis of Simple Interactive Evolutionary Biobjective Optimization Algorithms

Manuel López-Ibáñez, Dimo Brockhoff, Günter Rudolph, 2012, PPSN.

On Handling a Large Number of Objectives A Posteriori and During Optimization

Kalyanmoy Deb, Dhish Kumar Saxena, Eckart Zitzler, 2008, Multiobjective Problem Solving from Nature.

Mirrored Sampling and Sequential Selection for Evolution Strategies

Anne Auger, Dirk V. Arnold, Dimo Brockhoff, 2010, PPSN.

The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration

Lothar Thiele, Eckart Zitzler, Dimo Brockhoff, 2007, EMO.

Feature Cluster on "Evolutionary multiobjective optimization"

Sébastien Vérel, Bilel Derbel, Arnaud Liefooghe, 2015, Eur. J. Oper. Res..

New Results - Decomposition-Based Algorithms for Multiobjective Optimization

Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi, 2014 .

Session details: Black box optimization benchmarking 2013 (BBOB 2013)

Bernd Bischl, Heike Trautmann, Anne Auger, 2013, Annual Conference on Genetic and Evolutionary Computation.

Biobjective Performance Assessment with the COCO Platform pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, ArXiv.

Design of a biological half adder

Eckart Zitzler, Dimo Brockhoff, Jörg Stelling, 2007 .

Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences

Anne Auger, Eckart Zitzler, Johannes Bader, 2009, GECCO.

Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

GECCO 2012 tutorial on evolutionary multiobjective optimization

Kalyanmoy Deb, Dimo Brockhoff, K. Deb, 2012, GECCO '12.

Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

On the properties of the R2 indicator

Heike Trautmann, Dimo Brockhoff, Tobias Wagner, 2012, GECCO '12.

New Software and Platforms - Comparing Continuous Optimizers (Coco) Platform

Arnaud Liefooghe, Dimo Brockhoff, Thanh-Do Tran, 2014 .

GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

Multiobjectivization with NSGA-ii on the noiseless BBOB testbed

Bilel Derbel, Dimo Brockhoff, Thanh-Do Tran, 2013, GECCO.

Tutorials at PPSN 2016

Per Kristian Lehre, Pietro Simone Oliveto, Dirk Sudholt, 2016, PPSN.

Many objective optimization and hypervolume based search

Dimo Brockhoff, D. Brockhoff, 2009 .

Optimal µ-Distributions for the Hypervolume Indicator for Problems with Linear Bi-objective Fronts: Exact and Exhaustive Results

Dimo Brockhoff, D. Brockhoff, 2010, SEAL.

Do additional objectives make a problem harder?

Frank Neumann, Eckart Zitzler, Tobias Friedrich, 2007, GECCO '07.

Benchmarking Continuous Multiobjective Optimization Algorithms — PhD proposal —

Dimo Brockhoff, Inria Lille, 2012 .

Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods

Eckart Zitzler, Dimo Brockhoff, E. Zitzler, 2007, 2007 IEEE Congress on Evolutionary Computation.

Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

On the impact of active covariance matrix adaptation in the CMA-ES with mirrored mutations and small initial population size on the noiseless BBOB testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

Investigating Coverage and Connectivity Trade-offs in Wireless Sensor Networks: The Benefits of MOEAs

Dimo Brockhoff, Matthias Woehrle, Stefan Bleuler, 2008, MCDM.

The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes

Thomas Jansen, Dirk Sudholt, Ingo Wegener, 2004, PPSN.

Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization

Eckart Zitzler, Dimo Brockhoff, E. Zitzler, 2006, PPSN.

Summary of the First GECCO Workshop on Theoretical Aspects of Evolutionary Multiobjective Optimization

Nicola Beume, Dimo Brockhoff, D. Brockhoff, 2010 .

Comparison of the MATSuMoTo library for expensive optimization on the noiseless black-box optimization benchmarking testbed

Dimo Brockhoff, D. Brockhoff, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Mirrored variants of the (1,2)-CMA-ES compared on the noiseless BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

Special Issue on Evolutionary Multiobjective Optimization - Editorial

Dimo Brockhoff, Boris Naujoks, Joshua Knowles, 2017 .

Tutorial on Evolutionary Multiobjective Optimization

Dimo Brockhoff, Tobias Wagner, D. Brockhoff, 2015, GECCO.

Force-Based Cooperative Search Directions in Evolutionary Multi-objective Optimization

Bilel Derbel, Arnaud Liefooghe, Dimo Brockhoff, 2013, EMO.

Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2013, GECCO.

The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications

Anne Auger, Eckart Zitzler, Johannes Bader, 2012, Theor. Comput. Sci..

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2019, ArXiv.

Stopping criteria, initialization, and implementations of BFGS and their effect on the BBOB test suite

Dimo Brockhoff, Anne Auger, Aurore Blelly, 2018, GECCO.

On the Effects of Adding Objectives to Plateau Functions

Frank Neumann, Eckart Zitzler, Tobias Friedrich, 2009, IEEE Transactions on Evolutionary Computation.

Anytime Benchmarking of Budget-Dependent Algorithms with the COCO Platform

Dimo Brockhoff, Nikolaus Hansen, Tea Tušar, 2017 .

Articulating user preferences in many-objective problems by sampling the weighted hypervolume

Anne Auger, Eckart Zitzler, Johannes Bader, 2009, GECCO.

Mirrored sampling in evolution strategies with weighted recombination

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2011, GECCO '11.

GECCO 2018 tutorial on evolutionary multiobjective optimization

Dimo Brockhoff, D. Brockhoff, 2018, GECCO.

Editorial

Dimo Brockhoff, Joshua D. Knowles, Boris Naujoks, 2017, Computers & Operations Research.

Evolutionary multiobjective optimization

Dimo Brockhoff, 2011, GECCO.

Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2011, FOGA '11.

Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2019, Evolutionary Computation.

Benchmarking the (1,4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization

Thomas Jansen, Dirk Sudholt, Ingo Wegener, 2004, PPSN.

On Bi-Objective convex-quadratic problems pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2019, EMO.

Mirrored variants of the (1,4)-CMA-ES compared on the noiseless BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

On the Impact of Multiobjective Scalarizing Functions

Sébastien Vérel, Bilel Derbel, Arnaud Liefooghe, 2014, PPSN.

Evolutionäre Algorithmen zwischen experimenteller und theoretischer Analyse

Dirk Sudholt, Dimo Brockhoff, Patrick Briest, 2004 .

A Practical Guide for Conducting Calibration and Decision-Making Optimisation with Complex Ecological Models

Victor Picheny, Robert Faivre, Dimo Brockhoff, 2019 .

GECCO ’14: Proceedings of the 2014 conference on Genetic and evolutionary computation

Julian Togelius, Christine Zarges, Hitoshi Iba, 2014 .

On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2012, GECCO '12.

Theoretical Aspects of Evolutionary Multiobjective Optimization—a Review

Dimo Brockhoff, D. Brockhoff, 2009 .

Benchmarking Numerical Multiobjective Optimizers Revisited

Dimo Brockhoff, Nikolaus Hansen, Thanh-Do Tran, 2015, GECCO.

Mixed-integer benchmark problems for single- and bi-objective optimization

Dimo Brockhoff, Nikolaus Hansen, Tea Tusar, 2019, GECCO.

Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2019, GECCO.

COCO: a platform for comparing continuous optimizers in a black-box setting

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, Optim. Methods Softw..

Theoretical Aspects of Evolutionary Multiobjective Optimization

Dimo Brockhoff, D. Brockhoff, 2011, Theory of Randomized Search Heuristics.

Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2020, Appl. Soft Comput..

The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, GECCO.

Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications

Eckart Zitzler, Dimo Brockhoff, E. Zitzler, 2009, Evolutionary Computation.

The Impact of Initial Designs on the Performance of MATSuMoTo on the Noiseless BBOB-2015 Testbed: A Preliminary Study

Bernd Bischl, Dimo Brockhoff, Tobias Wagner, 2015, GECCO.

Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed

Dimo Brockhoff, Tea Tusar, D. Brockhoff, 2019, GECCO.

A Bug in the Multiobjective Optimizer IBEA: Salutary Lessons for Code Release and a Performance Re-Assessment

Dimo Brockhoff, 2015, EMO.

COCO: Performance Assessment pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, ArXiv.

Mirrored variants of the (1,4)-CMA-ES compared on the noisy BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection

Heike Trautmann, Dimo Brockhoff, Tobias Wagner, 2013, LION.

Analyzing Hypervolume Indicator Based Algorithms

Frank Neumann, Tobias Friedrich, Dimo Brockhoff, 2008, PPSN.

Injecting CMA-ES into MOEA/D

Saúl Zapotecas Martínez, Bilel Derbel, Kiyoshi Tanaka, 2015, GECCO.

A Comparative Study of Large-Scale Variants of CMA-ES

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2018, PPSN.

Tutorial on evolutionary multiobjective optimization

Dimo Brockhoff, D. Brockhoff, 2019, GECCO.

Mirrored variants of the (1,2)-CMA-ES compared on the noisy BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

Automated Aggregation and Omission of Objectives for Tackling Many-Objective Problems

Eckart Zitzler, Dimo Brockhoff, 2010 .

Benchmarking the (1,4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2010, GECCO '10.

GECCO 2016 Tutorial on Evolutionary Multiobjective Optimization

Dimo Brockhoff, Tobias Wagner, D. Brockhoff, 2016, GECCO.

Dimensionality Reduction in Multiobjective Optimization: The Minimum Objective Subset Problem

Eckart Zitzler, Dimo Brockhoff, E. Zitzler, 2006, OR.

The impact of sample volume in random search on the bbob test suite

Dimo Brockhoff, Nikolaus Hansen, N. Hansen, 2019, GECCO.

COCO: The Experimental Procedure pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, ArXiv.

COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite pdf

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2016, ArXiv.

Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2017, EMO.

On Using Populations of Sets in Multiobjective Optimization

Eckart Zitzler, Johannes Bader, Dimo Brockhoff, 2009, EMO.

Benchmarking multiobjective optimizers 2.0

Dimo Brockhoff, Tea Tusar, 2021, GECCO Companion.

DMS and MultiGLODS: black-box optimization benchmarking of two direct search methods on the bbob-biobj test suite

Anne Auger, Dimo Brockhoff, Nikolaus Hansen, 2021, GECCO Companion.

Interactive Optimization With Weighted Hypervolume Based EMO Algorithms: Preliminary Experiments

Souhila Kaci, Dimo Brockhoff, Youssef Hamadi, 2012 .

Dimensionality Reduction in Multiobjective Optimization with (Partial) Dominance Structure Preservation: Generalized Minimum Objective Subset Problems

Eckart Zitzler, Dimo Brockhoff, 2006 .

A new model for deployment coverage and connectivity of Wireless Sensor Networks

Dimo Brockhoff, Matthias Woehrle, 2007 .

On the Impact of Scalarizing Functions on Evolutionary Multiobjective Optimization

Bilel Derbel, Arnaud Liefooghe, Dimo Brockhoff, 2014 .