183 results on '"Dirk Thierens"'
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2. Model-Based Evolutionary Algorithms.
3. Model-Based Evolutionary Algorithms.
4. The Impact of Asynchrony on Parallel Model-Based EAs.
5. Learning with Confidence: Training Better Classifiers from Soft Labels.
6. Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them.
7. Solving multi-structured problems by introducing linkage kernels into GOMEA.
8. Model-based evolutionary algorithms: GECCO 2022 tutorial.
9. Generating the Ground Truth: Synthetic Data for Label Noise Research.
10. Benchmark generator for TD Mk landscapes.
11. Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms.
12. Model-based evolutionary algorithms.
13. Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm.
14. Model-based evolutionary algorithms: GECCO 2020 tutorial.
15. Investigation of the traveling thief problem.
16. Model-based evolutionary algorithms.
17. Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem.
18. Real-valued evolutionary multi-modal optimization driven by hill-valley clustering.
19. Model-based evolutionary algorithms: GECCO 2018 tutorial.
20. Learning bayesian network structures with GOMEA.
21. A benchmark generator of tree decomposition Mk landscapes.
22. Optimization of multi-objective mixed-integer problems with a model-based evolutionary algorithm in a black-box setting.
23. Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms.
24. A semi-supervised decision support system to facilitate antibiotic stewardship for urinary tract infections.
25. Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning.
26. Model-based evolutionary algorithms: GECCO 2017 tutorial.
27. 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.
28. The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme.
29. Learning and exploiting mixed variable dependencies with a model-based EA.
30. Model-Based Evolutionary Algorithms.
31. Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms.
32. A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued Variables.
33. Model-Based Evolutionary Algorithms.
34. A reliable ensemble based approach to semi-supervised learning.
35. Combining Model-Based EAs for Mixed-Integer Problems.
36. Model-based evolutionary algorithms.
37. On the usefulness of linkage processing for solving MAX-SAT.
38. Hierarchical problem solving with the linkage tree genetic algorithm.
39. More concise and robust linkage learning by filtering and combining linkage hierarchies.
40. Model-based evolutionary algorithms.
41. On Measures to Build Linkage Trees in LTGA.
42. Evolvability Analysis of the Linkage Tree Genetic Algorithm.
43. Learning the Neighborhood with the Linkage Tree Genetic Algorithm.
44. Predetermined versus learned linkage models.
45. Linkage neighbors, optimal mixing and forced improvements in genetic algorithms.
46. Generalized adaptive pursuit algorithm for genetic pareto local search algorithms.
47. The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspective.
48. Optimal mixing evolutionary algorithms.
49. Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm.
50. Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization.
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