Dirk Thierens

Orcid: 0000-0002-9308-5159

According to our database1, Dirk Thierens authored at least 97 papers between 1990 and 2024.

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Bibliography

2024
Learning with Confidence: Training Better Classifiers from Soft Labels.
CoRR, 2024

Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them.
CoRR, 2024

Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Generating the Ground Truth: Synthetic Data for Label Noise Research.
CoRR, 2023

The Impact of Asynchrony on Parallel Model-Based EAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
Solving multi-structured problems by introducing linkage kernels into GOMEA - Source Code.
Dataset, December, 2022

A semi-supervised decision support system to facilitate antibiotic stewardship for urinary tract infections.
Comput. Biol. Medicine, 2022

Model-based evolutionary algorithms: GECCO 2022 tutorial.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Solving multi-structured problems by introducing linkage kernels into GOMEA.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021
Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021

A reliable ensemble based approach to semi-supervised learning.
Knowl. Based Syst., 2021

Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms.
CoRR, 2021

A benchmark generator of tree decomposition Mk landscapes.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Optimization of multi-objective mixed-integer problems with a model-based evolutionary algorithm in a black-box setting.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Benchmark generator for TD Mk landscapes.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Model-based evolutionary algorithms: GECCO 2020 tutorial.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Investigation of the traveling thief problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
GAMBIT: A Parameterless Model-Based Evolutionary Algorithm for Mixed-Integer Problems.
Evol. Comput., 2018

Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization.
CoRR, 2018

Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Model-based evolutionary algorithms: GECCO 2018 tutorial.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Learning bayesian network structures with GOMEA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Real-valued evolutionary multi-modal optimization driven by hill-valley clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Model-based evolutionary algorithms: GECCO 2017 tutorial.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Learning and exploiting mixed variable dependencies with a model-based EA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

In Search of Optimal Linkage Trees.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
Combining Model-Based EAs for Mixed-Integer Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Model-based evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Benchmarking Parameter-Free AMaLGaM on Functions With and Without Noise.
Evol. Comput., 2013

Hierarchical problem solving with the linkage tree genetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

On the usefulness of linkage processing for solving MAX-SAT.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

More concise and robust linkage learning by filtering and combining linkage hierarchies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Stochastic Pareto local search: Pareto neighbourhood exploration and perturbation strategies.
J. Heuristics, 2012

Evolvability Analysis of the Linkage Tree Genetic Algorithm.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

On Measures to Build Linkage Trees in LTGA.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Learning the Neighborhood with the Linkage Tree Genetic Algorithm.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Predetermined versus learned linkage models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Linkage neighbors, optimal mixing and forced improvements in genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Optimal mixing evolutionary algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Generalized adaptive pursuit algorithm for genetic pareto local search algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Recombination operators and selection strategies for evolutionary Markov Chain Monte Carlo algorithms.
Evol. Intell., 2010

Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs.
Evol. Comput., 2010

The Linkage Tree Genetic Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2010

Path-Guided Mutation for Stochastic Pareto Local Search Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2010

Linkage tree genetic algorithm: first results.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Adaptive Operator Selection for Iterated Local Search.
Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2009

On benchmark properties for adaptive operator selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

AMaLGaM IDEAs in noisy black-box optimization benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

AMaLGaM IDEAs in noiseless black-box optimization benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift.
Proceedings of the Parallel Problem Solving from Nature, 2008

A bivariate probabilistic model-building genetic algorithm for graph bipartitioning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Adaptive Strategies for Operator Allocation.
Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Numerical Optimization with Real-Valued Estimation-of-Distribution Algorithms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Exploration and Exploitation Bias of Crossover and Path Relinking for Permutation Problems.
Proceedings of the Parallel Problem Solving from Nature, 2006

Multi-objective Optimization with the Naive 𝕄 ID 𝔼 A.
Proceedings of the Towards a New Evolutionary Computation, 2006

2005
An adaptive pursuit strategy for allocating operator probabilities.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

A generator for hierarchical problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

On the complexity of hierarchical problem solving.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

The Naive MIDEA: A Baseline Multi-objective EA.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

Recombinative EMCMC algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
On the Design and Analysis of Competent Selecto-recombinative GAs.
Evol. Comput., 2004

Hierarchical Genetic Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2004

On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA.
Proceedings of the Parallel Problem Solving from Nature, 2004

Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover.
Proceedings of the Genetic and Evolutionary Computation, 2004

Exploiting Modularity, Hierarchy, and Repetition in Variable-Length Problems.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
The balance between proximity and diversity in multiobjective evolutionary algorithms.
IEEE Trans. Evol. Comput., 2003

A Skeleton-Based Approach to Learning Bayesian Networks from Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Building a GA from Design Principles for Learning Bayesian Networks.
Proceedings of the Genetic and Evolutionary Computation, 2003

Convergence Time Analysis for the Multi-objective Counting Ones Problem.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

Evolutionary Markov Chain Monte Carlo.
Proceedings of the Artificial Evolution, 2003

2002
Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms.
Int. J. Approx. Reason., 2002

Using Genetic Algorithms for Solving Hard Problems in GIS.
GeoInformatica, 2002

Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations.
Proceedings of the Parallel Problem Solving from Nature, 2002

Adaptive mutation rate control schemes in genetic algorithms.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Computation in Gene Expression.
Complex Syst., 2001

2000
Scalability and Efficiency of Genetic Algorithms for Geometrical Applications.
Proceedings of the Parallel Problem Solving from Nature, 2000

Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA.
Proceedings of the Parallel Problem Solving from Nature, 2000

1999
Scalability Problems of Simple Genetic Algorithms.
Evol. Comput., 1999

On The Design of Genetic Algorithms for Geographical Applications.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Linkage Information Processing In Distribution Estimation Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

A case study of a multiobjective recombinative genetic algorithm with coevolutionary sharing.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1997
Selection Schemes, Elitist Recombination, and Selection Intensity.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

1996
Dimensional Analysis of Allele-Wise Mixing Revisited.
Proceedings of the Parallel Problem Solving from Nature, 1996

Non-Redundant Genetic Coding of Neural Networks.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1994
Convergence Models of Genetic Algorithm Selection Schemes.
Proceedings of the Parallel Problem Solving from Nature, 1994

Elitist Recombination: An Integrated Selection Recombination GA.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

1993
Mixing in Genetic Algorithms.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993

1990
A Topology Exploiting Genetic Algorithm to Control Dynamic Systems.
Proceedings of the Parallel Problem Solving from Nature, 1st Workshop, 1990


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