Dimo Brockhoff

According to our database1, Dimo Brockhoff authored at least 89 papers between 2004 and 2019.

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Bibliography

2019
Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework.
CoRR, 2019

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite.
CoRR, 2019

Mixed-integer benchmark problems for single- and bi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

The impact of sample volume in random search on the bbob test suite.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Tutorial on evolutionary multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On Bi-objective Convex-Quadratic Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
On Bi-Objective convex-quadratic problems.
CoRR, 2018

A Comparative Study of Large-Scale Variants of CMA-ES.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

GECCO 2018 tutorial on evolutionary multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Stopping criteria, initialization, and implementations of BFGS and their effect on the BBOB test suite.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Editorial.
Computers & OR, 2017

GECCO 2017 tutorial on evolutionary multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite.
CoRR, 2016

COCO: The Experimental Procedure.
CoRR, 2016

COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting.
CoRR, 2016

COCO: Performance Assessment.
CoRR, 2016

Biobjective Performance Assessment with the COCO Platform.
CoRR, 2016


GECCO 2016 Tutorial on Evolutionary Multiobjective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Feature Cluster on "Evolutionary multiobjective optimization".
European Journal of Operational Research, 2015

2 Indicator-Based Multiobjective Search.
Evolutionary Computation, 2015

Injecting CMA-ES into MOEA/D.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Tutorial on Evolutionary Multiobjective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Benchmarking Numerical Multiobjective Optimizers Revisited.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

The Impact of Initial Designs on the Performance of MATSuMoTo on the Noiseless BBOB-2015 Testbed: A Preliminary Study.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Bug in the Multiobjective Optimizer IBEA: Salutary Lessons for Code Release and a Performance Re-Assessment.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Comparison of the MATSuMoTo library for expensive optimization on the noiseless black-box Optimization Benchmarking testbed.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
On the Impact of Multiobjective Scalarizing Functions.
CoRR, 2014

Using Comparative Preference Statements in Hypervolume-Based Interactive Multiobjective Optimization.
Proceedings of the Learning and Intelligent Optimization, 2014

GECCO 2014 tutorial on evolutionary multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

Multiobjectivization with NSGA-ii on the noiseless BBOB testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

GECCO 2013 tutorial on evolutionary multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Preference Articulation by Means of the R2 Indicator.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Force-Based Cooperative Search Directions in Evolutionary Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012
Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications.
Theor. Comput. Sci., 2012

Runtime Analysis of Simple Interactive Evolutionary Biobjective Optimization Algorithms.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

On the properties of the R2 indicator.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

GECCO 2012 tutorial on evolutionary multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Evolutionary multiobjective optimization.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Mirrored sampling in evolution strategies with weighted recombination.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies.
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

An Evolutionary Algorithm for the Multiobjective Risk-Equity Constrained Routing Problem.
Proceedings of the 10th Cologne-Twente Workshop on graphs and combinatorial optimization. Extended Abstracts, 2011

Theoretical Aspects of Evolutionary Multiobjective Optimization.
Proceedings of the Theory of Randomized Search Heuristics: Foundations and Recent Developments., 2011

2010
Optimal µ-Distributions for the Hypervolume Indicator for Problems with Linear Bi-objective Fronts: Exact and Exhaustive Results.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Mirrored Sampling and Sequential Selection for Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature, 2010

Theoretically Investigating Optimal µ-Distributions for the Hypervolume Indicator: First Results for Three Objectives.
Proceedings of the Parallel Problem Solving from Nature, 2010

Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Many objective optimization and hypervolume based search.
PhD thesis, 2009

On the Effects of Adding Objectives to Plateau Functions.
IEEE Trans. Evolutionary Computation, 2009

Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications.
Evolutionary Computation, 2009

Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Articulating user preferences in many-objective problems by sampling the weighted hypervolume.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point.
Proceedings of the Foundations of Genetic Algorithms, 2009

On Using Populations of Sets in Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

2008
Analyzing Hypervolume Indicator Based Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2008

Investigating Coverage and Connectivity Trade-offs in Wireless Sensor Networks: The Benefits of MOEAs.
Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008

Pattern identification in pareto-set approximations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

On Handling a Large Number of Objectives A Posteriori and During Optimization.
Proceedings of the Multiobjective Problem Solving from Nature, 2008

2007
Do additional objectives make a problem harder?
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2006

Dimensionality Reduction in Multiobjective Optimization: The Minimum Objective Subset Problem.
Proceedings of the Operations Research, 2006

The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2006

2004
The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes.
Proceedings of the Parallel Problem Solving from Nature, 2004

Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2004


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