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X
Pätzel, David
16  Ergebnisse:
Buchkapitel (Online) X
Personensuche X
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1

Measuring Similarities in Model Structure of Metaheuristic ..:

, In: Applications of Evolutionary Computation; Lecture Notes in Computer Science,
Pätzel, David ; Nordsieck, Richard ; Hähner, Jörg - p. 256-272 , 2024
Link: https://doi.org/10.1007/..
 
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2

Towards Principled Synthetic Benchmarks for Explainable Rul..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,
Pätzel, David ; Heider, Michael ; Hähner, Jörg - p. 1657-1662 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Weighted Mutation of Connections To Mitigate Search Space L..:

, In: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms,
Cui, Henning ; Pätzel, David ; Margraf, Andreas. - p. 50-60 , 2023
Link: https://dl.acm.org/doi/1..
 
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4

Deep Q-Network Updates for the Full Action-Space Utilizing ..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
von Pilchau, Wenzel Pilar ; Patzel, David ; Stein, Anthony. - p. 1-9 , 2023
Link: https://doi.org/10.1109/..
 
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5

The Bayesian learning classifier system : implementation..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Pätzel, David ; Hähner, Jörg - p. 413-421 , 2022
Link: https://dl.acm.org/doi/1..
 
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6

A Metaheuristic Perspective on Learning Classifier Systems:

, In: Metaheuristics for Machine Learning; Computational Intelligence Methods and Applications,
Heider, Michael ; Pätzel, David ; Stegherr, Helena. - p. 73-98 , 2022
Link: https://doi.org/10.1007/..
 
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7

An overview of LCS research from 2021 to 2022:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Heider, Michael ; Pätzel, David ; Wagner, Alexander R. M. - p. 2086-2094 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

An overview of LCS research from 2020 to 2021:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Pätzel, David ; Heider, Michael ; Wagner, Alexander R. M. - p. 1648-1656 , 2021
Link: https://dl.acm.org/doi/1..
 
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9

Transfer Learning for Automated Test Case Prioritization Us..:

, In: Applications of Evolutionary Computation; Lecture Notes in Computer Science,
Rosenbauer, Lukas ; Pätzel, David ; Stein, Anthony. - p. 681-696 , 2021
Link: https://doi.org/10.1007/..
 
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10

An Organic Computing System for Automated Testing:

, In: Architecture of Computing Systems; Lecture Notes in Computer Science,
Rosenbauer, Lukas ; Pätzel, David ; Stein, Anthony. - p. 135-149 , 2021
Link: https://doi.org/10.1007/..
 
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11

XCSF with Experience Replay for Automatic Test Case Priorit..:

, In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI),
Rosenbauer, Lukas ; Stein, Anthony ; Patzel, David. - p. 1307-1314 , 2020
Link: https://doi.org/10.1109/..
 
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12

XCS as a reinforcement learning approach to automatic test ..:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion,
Rosenbauer, Lukas ; Stein, Anthony ; Maier, Roland.. - p. 1798-1806 , 2020
Link: https://dl.acm.org/doi/1..
 
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13

Towards a Pittsburgh-style LCS for learning manufacturing m..:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion,
Heider, Michael ; Pätzel, David ; Hähner, Jörg - p. 127-128 , 2020
Link: https://dl.acm.org/doi/1..
 
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14

An overview of LCS research from IWLCS 2019 to 2020:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion,
Pätzel, David ; Stein, Anthony ; Nakata, Masaya - p. 1782-1788 , 2020
Link: https://dl.acm.org/doi/1..
 
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15

A survey of formal theoretical advances regarding XCS:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Pätzel, David ; Stein, Anthony ; Hähner, Jörg - p. 1295-1302 , 2019
Link: https://dl.acm.org/doi/1..
 
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