Dirk Thierens

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 38

Top Venues

Publications

Dirk Thierens, Peter A. N. Bosman
Model-Based Evolutionary Algorithms. GECCO Companion (2024)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching. GECCO Companion (2024)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them. CoRR (2024)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
The Impact of Asynchrony on Parallel Model-Based EAs. CoRR (2023)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
The Impact of Asynchrony on Parallel Model-Based EAs. GECCO (2023)
Dirk Thierens, Peter A. N. Bosman
Model-Based Evolutionary Algorithms. GECCO Companion (2023)
Sjoerd de Vries, Dirk Thierens
Generating the Ground Truth: Synthetic Data for Label Noise Research. CoRR (2023)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms: GECCO 2022 tutorial. GECCO Companion (2022)
Sjoerd de Vries, Thijs ten Doesschate, Joan E. E. Totté, Judith W. Heutz, Yvette G. T. Loeffen, Jan Jelrik Oosterheert, Dirk Thierens, Edwin Boel
A semi-supervised decision support system to facilitate antibiotic stewardship for urinary tract infections. Comput. Biol. Medicine 146 (2022)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA. CoRR (2022)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
Solving multi-structured problems by introducing linkage kernels into GOMEA. GECCO (2022)
Dirk Thierens, Tobias van Driessel
A benchmark generator of tree decomposition Mk landscapes. GECCO Companion (2021)
Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman
Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms. CoRR (2021)
Michal Witold Przewozniczek, Marcin M. Komarnicki, Peter A. N. Bosman, Dirk Thierens, Bartosz Frej, Ngoc Hoang Luong
Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms. GECCO Companion (2021)
Tobias van Driessel, Dirk Thierens
Benchmark generator for TD Mk landscapes. GECCO Companion (2021)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms. GECCO Companion (2021)
Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman
Optimization of multi-objective mixed-integer problems with a model-based evolutionary algorithm in a black-box setting. GECCO Companion (2021)
Sjoerd de Vries, Dirk Thierens
A reliable ensemble based approach to semi-supervised learning. Knowl. Based Syst. 215 (2021)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms: GECCO 2020 tutorial. GECCO Companion (2020)
Rogier Hans Wuijts, Dirk Thierens
Investigation of the traveling thief problem. GECCO (2019)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms. GECCO (Companion) (2019)
Kalia Orphanou, Dirk Thierens, Peter A. N. Bosnian
Learning bayesian network structures with GOMEA. GECCO (2018)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms: GECCO 2018 tutorial. GECCO (Companion) (2018)
Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman
GAMBIT: A Parameterless Model-Based Evolutionary Algorithm for Mixed-Integer Problems. Evol. Comput. 26 (1) (2018)
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
Real-valued evolutionary multi-modal optimization driven by hill-valley clustering. GECCO (2018)
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization. CoRR (2018)
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
Real-Valued Evolutionary Multi-Modal Optimization driven by Hill-Valley Clustering. CoRR (2018)
G. H. Aalvanger, Ngoc Hoang Luong, Peter A. N. Bosman, Dirk Thierens
Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem. PPSN (1) (2018)
Krzysztof L. Sadowski, Marjolein C. van der Meer, Ngoc Hoang Luong, Tanja Alderliesten, Dirk Thierens, Rob van der Laarse, Yury Niatsetski, Arjan Bel, Peter A. N. Bosman
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. GECCO (2017)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms: GECCO 2017 tutorial. GECCO (Companion) (2017)
S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman
Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning. GECCO (2017)
Willem den Besten, Dirk Thierens, Peter A. N. Bosman
The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme. PPSN (2016)
Krzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens
Learning and exploiting mixed variable dependencies with a model-based EA. CEC (2016)
Dirk Thierens, Peter A. N. Bosman
Model-Based Evolutionary Algorithms. GECCO (Companion) (2016)
Peter A. N. Bosman, Ngoc Hoang Luong, Dirk Thierens
Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms. GECCO (2016)
Roy de Bokx, Dirk Thierens, Peter A. N. Bosman
In Search of Optimal Linkage Trees. GECCO (Companion) (2015)
Dirk Thierens, Peter A. N. Bosman
Model-Based Evolutionary Algorithms. GECCO (Companion) (2015)
Krzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens
A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables. GECCO (2015)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms. GECCO (Companion) (2014)
Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman
Combining Model-Based EAs for Mixed-Integer Problems. PPSN (2014)
Peter A. N. Bosman, Dirk Thierens
More concise and robust linkage learning by filtering and combining linkage hierarchies. GECCO (2013)
Dirk Thierens, Peter A. N. Bosman
Hierarchical problem solving with the linkage tree genetic algorithm. GECCO (2013)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms. GECCO (Companion) (2013)
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
Benchmarking Parameter-Free AMaLGaM on Functions With and Without Noise. Evol. Comput. 21 (3) (2013)
Krzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens
On the usefulness of linkage processing for solving MAX-SAT. GECCO (2013)
Dirk Thierens, Peter A. N. Bosman
Learning the Neighborhood with the Linkage Tree Genetic Algorithm. LION (2012)
Peter A. N. Bosman, Dirk Thierens
On Measures to Build Linkage Trees in LTGA. PPSN (1) (2012)
Madalina M. Drugan, Dirk Thierens
Stochastic Pareto local search: Pareto neighbourhood exploration and perturbation strategies. J. Heuristics 18 (5) (2012)
Peter A. N. Bosman, Dirk Thierens
Linkage neighbors, optimal mixing and forced improvements in genetic algorithms. GECCO (2012)
Dirk Thierens, Peter A. N. Bosman
Predetermined versus learned linkage models. GECCO (2012)
Dirk Thierens, Peter A. N. Bosman
Evolvability Analysis of the Linkage Tree Genetic Algorithm. PPSN (1) (2012)
Martin Pelikan, Mark Hauschild, Dirk Thierens
Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm. GECCO (2011)
Dirk Thierens, Peter A. N. Bosman
Optimal mixing evolutionary algorithms. GECCO (2011)
Peter A. N. Bosman, Dirk Thierens
The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective. GECCO (Companion) (2011)
Madalina M. Drugan, Dirk Thierens
Generalized adaptive pursuit algorithm for genetic pareto local search algorithms. GECCO (2011)
Madalina M. Drugan, Dirk Thierens
Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs. Evol. Comput. 18 (2) (2010)
Madalina M. Drugan, Dirk Thierens
Path-Guided Mutation for Stochastic Pareto Local Search Algorithms. PPSN (1) (2010)
Dirk Thierens
The Linkage Tree Genetic Algorithm. PPSN (1) (2010)
Madalina M. Drugan, Dirk Thierens
Recombination operators and selection strategies for evolutionary Markov Chain Monte Carlo algorithms. Evol. Intell. 3 (2) (2010)
Dirk Thierens
Linkage tree genetic algorithm: first results. GECCO (Companion) (2010)
Dirk Thierens
Adaptive Operator Selection for Iterated Local Search. SLS (2009)
Dirk Thierens
On benchmark properties for adaptive operator selection. GECCO (Companion) (2009)
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
AMaLGaM IDEAs in noisy black-box optimization benchmarking. GECCO (Companion) (2009)
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
AMaLGaM IDEAs in noiseless black-box optimization benchmarking. GECCO (Companion) (2009)
Dirk Thierens
A bivariate probabilistic model-building genetic algorithm for graph bipartitioning. GECCO (Companion) (2008)
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift. PPSN (2008)
Peter A. N. Bosman, Dirk Thierens
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms. GECCO (2007)
Dirk Thierens
Exploration and Exploitation Bias of Crossover and Path Relinking for Permutation Problems. PPSN (2006)
Edwin D. de Jong, Richard A. Watson, Dirk Thierens
A generator for hierarchical problems. GECCO Workshops (2005)
Peter A. N. Bosman, Dirk Thierens
The Naive MIDEA: A Baseline Multi-objective EA. EMO (2005)
Dirk Thierens
An Adaptive Pursuit Strategy for Allocating Operator Probabilities. BNAIC (2005)
Edwin D. de Jong, Richard A. Watson, Dirk Thierens
On the Complexity of Hierarchical Problem Solving. BNAIC (2005)
Dirk Thierens
An adaptive pursuit strategy for allocating operator probabilities. GECCO (2005)
Madalina M. Drugan, Dirk Thierens
Recombinative EMCMC algorithms. Congress on Evolutionary Computation (2005)
Edwin D. de Jong, Richard A. Watson, Dirk Thierens
On the complexity of hierarchical problem solving. GECCO (2005)
Steven van Dijk, Dirk Thierens, Mark de Berg
On the Design and Analysis of Competent Selecto-recombinative GAs. Evol. Comput. 12 (2) (2004)
Edwin D. de Jong, Dirk Thierens, Richard A. Watson
Hierarchical Genetic Algorithms. PPSN (2004)
Steven van Dijk, Dirk Thierens
On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA. PPSN (2004)
Dirk Thierens
Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover. GECCO (2) (2004)
Edwin D. de Jong, Dirk Thierens
Exploiting Modularity, Hierarchy, and Repetition in Variable-Length Problems. GECCO (1) (2004)
Dirk Thierens
Convergence Time Analysis for the Multi-objective Counting Ones Problem. EMO (2003)
Steven van Dijk, Dirk Thierens, Linda C. van der Gaag
Building a GA from Design Principles for Learning Bayesian Networks. GECCO (2003)
Peter A. N. Bosman, Dirk Thierens
The balance between proximity and diversity in multiobjective evolutionary algorithms. IEEE Trans. Evol. Comput. 7 (2) (2003)
Steven van Dijk, Linda C. van der Gaag, Dirk Thierens
A Skeleton-Based Approach to Learning Bayesian Networks from Data. PKDD (2003)
Madalina M. Drugan, Dirk Thierens
Evolutionary Markov Chain Monte Carlo. Artificial Evolution (2003)
Peter A. N. Bosman, Dirk Thierens
Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms. Int. J. Approx. Reason. 31 (3) (2002)
Dirk Thierens
Adaptive mutation rate control schemes in genetic algorithms. IEEE Congress on Evolutionary Computation (2002)
Peter A. N. Bosman, Dirk Thierens
Permutation Optimization by Iterated Estimation of Random Keys Marginal Product Factorizations. PPSN (2002)
Steven van Dijk, Dirk Thierens, Mark de Berg
Using Genetic Algorithms for Solving Hard Problems in GIS. GeoInformatica 6 (4) (2002)
Hillol Kargupta, Dirk Thierens
Computation in Gene Expression. Complex Syst. 13 (1) (2001)
Steven van Dijk, Dirk Thierens, Mark de Berg
Scalability and Efficiency of Genetic Algorithms for Geometrical Applications. PPSN (2000)
Peter A. N. Bosman, Dirk Thierens
Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA. PPSN (2000)
Peter A. N. Bosman, Dirk Thierens
Linkage Information Processing In Distribution Estimation Algorithms. GECCO (1999)
Dirk Thierens
Scalability Problems of Simple Genetic Algorithms. Evol. Comput. 7 (4) (1999)
Steven van Dijk, Dirk Thierens, Mark de Berg
On The Design of Genetic Algorithms for Geographical Applications. GECCO (1999)
Martijn Neef, Dirk Thierens, Henryk F. R. Arciszewski
A case study of a multiobjective recombinative genetic algorithm with coevolutionary sharing. CEC (1999)
Dirk Thierens
Selection Schemes, Elitist Recombination, and Selection Intensity. ICGA (1997)
Dirk Thierens
Non-Redundant Genetic Coding of Neural Networks. International Conference on Evolutionary Computation (1996)
Dirk Thierens
Dimensional Analysis of Allele-Wise Mixing Revisited. PPSN (1996)
Dirk Thierens, David E. Goldberg
Convergence Models of Genetic Algorithm Selection Schemes. PPSN (1994)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dirk Thierens