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Automated algorithm selection for black-box optimization using light gradient boosting machine
Guo, Qingbin ; Wang, Handing ; Tian, Ye
In Swarm and Evolutionary Computation October 2025 98

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On bi-objective combinatorial optimization with heterogeneous objectives
Cosson, Raphaël ; Santana, Roberto ; Derbel, Bilel ; et al.
In European Journal of Operational Research 16 November 2024 319(1):89-101

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Efficient Online Automated Algorithm Selection in the Face of Data-Drift in Optimisation Problem Instances
Rook, Jeroen ; Renau, Quentin ; Trautmann, Heike ; et al.

Online Automated Algorit... Drift detection Parallel Algorithm Portf...
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4

Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection
Seiler, Moritz ; Skvorc, Urban ; Doerr, Carola ; et al.
Lecture Notes in Computer Science ; The 18th Learning and Intelligent OptimizatioN Conference (LION 2024) ; https://hal.sorbonne-universite.fr/hal-04613225 ; The 18th Learning and Intelligent OptimizatioN Conference (LION 2024), Jun 2024, Ischia, Italy. pp.361-376, ⟨10.1007/978-3-031-75623-8_29⟩

Ischia Italy Self-Supervised Learning Feature Selection Deep Learning Automated Algorithm Sele... …
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5

Hybridizing Target-and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization
Dietrich, Konstantin ; Prager, Raphael Patrick ; Doerr, Carola ; et al.
Parallel Problem Solving from Nature – PPSN XVIII (PPSN 2024) ; https://hal.sorbonne-universite.fr/hal-04759439 ; Parallel Problem Solving from Nature – PPSN XVIII (PPSN 2024), Sep 2024, Hagenberg, Austria. pp.154-169, ⟨10.1007/978-3-031-70068-2_10⟩

Hagenberg Austria Mixed-Variable Optimisat... SHAP Automated Algorithm Sele... [INFO]Computer Science [...
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6

Learned Features vs. Classical ELA on Affine BBOB Functions
Seiler, Moritz ; Škvorc, Urban ; Cenikj, Gjorgjina ; et al.
Parallel Problem Solving from Nature – PPSN XVIII (PPSN 2024) ; https://hal.sorbonne-universite.fr/hal-04759437 ; Parallel Problem Solving from Nature – PPSN XVIII (PPSN 2024), Sep 2024, Hagenberg, Austria. pp.137-153, ⟨10.1007/978-3-031-70068-2_9⟩

Hagenberg Austria Exploratory Landscape An... Automated Algorithm Sele... Deep Learning Black-box optimization …
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7

A DRL-Based Automated Algorithm Selection Framework for Cross-Layer QoS-Aware Scheduling and Antenna Allocation in Massive MIMO Systems
Chih-Wei Huang ; Ibrahim Althamary ; Yen-Cheng Chou ; et al.
IEEE Access, Vol 11, Pp 13243-13256 (2023)

Mobile network resource allocation QoS deep reinforcement learn... automated algorithm sele... massive MIMO …
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8

PS-AAS ; PS-AAS: portfolio selection for automated algorithm selection in black-box optimization
Kostovska, Ana ; Cenikj, Gjorgjina ; Vermetten, Diederick ; et al.
Proceedings of Machine learning research, vol. 228, pp. 1-17, 2023. ; ISSN: 2640-3498 ; Nemčija

automated algorithm sele... portfolio selection black box optimization info:eu-repo/classificat...
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9

Feature-based benchmarking of distance-based multi/many-objective optimisation problems: A machine learning perspective
Liefooghe, Arnaud ; Verel, Sébastien ; Chugh, Tinkle ; et al.
Evolutionary Multi-Criterion Optimization : 12th International conference, EMO 2023 Leiden, The Netherlands, March 20-24, 2023. Proccedings ; EMO 2023 - 12th International Conference on Evolutionary Multi-Criterion Optimization ; https://hal.science/hal-04021499 ; EMO 2023 - 12th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2023, Leiden, Netherlands. pp.260-273, ⟨10.1007/978-3-031-27250-9_19⟩

Leiden Netherlands Multi/many-objective dis... Feature-based performanc... Automated algorithm sele... [INFO]Computer Science [... …
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10

Explainable Model-specific Algorithm Selection for Multi-Label Classification
Kostovska, Ana ; Doerr, Carola ; Dzeroski, Saso ; et al.
Proc. of 2022 IEEE Symposium Series on Computational Intelligence (SSCI) ; 2022 IEEE Symposium Series on Computational Intelligence (SSCI) ; https://hal.sorbonne-universite.fr/hal-04003128 ; 2022 IEEE Symposium Series on Computational Intelligence (SSCI), Dec 2022, Singapore, Singapore. pp.39-46, ⟨10.1109/SSCI51031.2022.10022177⟩

Singapore automated algorithm sele... automated algorithm sele... multi-label classificati... XAI [INFO]Computer Science [...
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11

Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis
Cosson, Raphaël ; Derbel, Bilel ; Liefooghe, Arnaud ; et al.
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference ; GECCO 2022 - Genetic and Evolutionary Computation Conference ; https://hal.science/hal-03693659 ; GECCO 2022 - Genetic and Evolutionary Computation Conference, Jul 2022, Boston, MA, United States. pp.493-501, ⟨10.1145/3512290.3528731⟩

Boston MA United States automated algorithm sele... NK-landscapes landscape analysis …
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12

Towards Feature-Based Performance Regression Using Trajectory Data
Jankovic, Anja ; Eftimov, Tome ; Doerr, Carola ; et al.
Applications of Evolutionary Computation 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings ; Applications of Evolutionary Computation (EvoApplications 2021) ; https://hal.sorbonne-universite.fr/hal-03233699 ; Applications of Evolutionary Computation (EvoApplications 2021), Apr 2021, Sevilla (on line), Spain. pp.601-617, ⟨10.1007/978-3-030-72699-7_38⟩

Sevilla (on line) Spain Feature Selection Performance Regression Black-Box Optimization Automated Algorithm Sele... …
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13

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14

A Survey of Advances in Landscape Analysis for Optimisation
Katherine Mary Malan
Algorithms, Vol 14, Iss 2, p 40 (2021)

fitness landscape landscape analysis violation landscape error landscape automated algorithm sele... Industrial engineering.... …
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15

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16

Feature-based benchmarking of distance-based multi/many-objective optimisation problems: A machine learning perspective
A Liefooghe ; S Verel ; T Chugh ; et al.

Multi/many-objective dis... Feature-based performanc... Automated algorithm sele...
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17

Applying Machine Learning Techniques to ASP Solving
Maratea, Marco ; Pulina, Luca ; Ricca, Francesco ; et al.

Answer Set Programming Automated Algorithm Sele... Multi-Engine solvers
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18

Applying machine learning techniques to ASP solving
Marco Maratea ; Luca Pulina ; Francesco Ricca ; et al.
http://www.star.dist.unige.it/~marco/Data/12iclp.pdf.

Automated Algorithm Sele... Multi-Engine solvers Dig...
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19

F.: Applying machine learning techniques to ASP solving
Marco Maratea ; Luca Pulina ; Francesco Ricca ; et al.
http://drops.dagstuhl.de/opus/volltexte/2012/3608/pdf/6.pdf.

Automated Algorithm Sele... Multi-Engine solvers Dig...
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20

Landscape-Aware Selection of Metaheuristics for the Optimization of Radar Networks ; Sélection de Métaheuristiques Guidée par le Paysage de Recherche pour l'Optimisation de Réseaux de Radars
Renau, Quentin ; Institut polytechnique de Paris ; Doerr, Benjamin ; et al.

Optimisation Métaheuristiques Réseaux de radars Sélection automatique d'... Optimization Metaheuristics …
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