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Bayliss, M.
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1

VSTOL FCS Using Nonlinear Dynamic Inversion and Scheduled F..:

, In: 2024 UKACC 14th International Conference on Control (CONTROL),
Bayliss, M. T. ; Verspecht, T. ; Whidborne, J. F. - p. 313-314 , 2024
Link: https://doi.org/10.1109/..
 
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2

Variation in Working Memory Due to Typical and Atypical Dev..:

, In: Variation in Working Memory,
Jarrold, Christopher ; Bayliss, Donna M. - p. 134-161 , 2008
Link: https://doi.org/10.1093/..
 
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3

A simheuristic approach to the vehicle ferry revenue manage..:

, In: Proceedings of the 2016 Winter Simulation Conference,
Bayliss, Christopher ; Bennell, Julia M. ; Currie, Christine S. M... - p. 2335-2346 , 2016
Link: https://dl.acm.org/doi/1..
 
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4

List of Contributors:

, In: Translating Epigenetics to the Clinic,
Arnett, D.K. ; Aslibekyan, S. ; Bai, G.... - p. xi-xii , 2017
Link: https://doi.org/10.1016/..
 
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5

Contributors:

, In: Plant Engineer's Reference Book,
Adam, Thomas L ; Ahmed, M ; Auger, Brian... - p. viii-ix , 2002
Link: https://doi.org/10.1016/..
 
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6

A Preliminary Study on Score-Based Hyper-heuristics for Sol..:

, In: Lecture Notes in Computer Science; Pattern Recognition,
Silva-Gálvez, A. ; Lara-Cárdenas, E. ; Amaya, I... - p. 318-327 , 2020
Link: https://doi.org/10.1007/..
 
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7

A Genetic Programming Framework for Heuristic Generation fo..:

, In: Advances in Soft Computing; Lecture Notes in Computer Science,
Lara-Cárdenas, E. ; Sánchez-Díaz, X. ; Amaya, I... - p. 284-295 , 2020
Link: https://doi.org/10.1007/..
 
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8

Hyper-heuristics for the dynamic variable ordering in const..:

, In: Proceedings of the 10th annual conference on Genetic and evolutionary computation,
Terashima-Marín, H. ; Ortiz-Bayliss, J. C. ; Ross, P.. - p. 571-578 , 2008
Link: https://dl.acm.org/doi/1..
 
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9

On the Feasibility of using Neural Networks as High-level s..:

, In: 2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI),
Benavides-Robles, Maria Torcoroma ; Cruz-Duarte, Jorge M. ; Amaya, Ivan. - p. 91-95 , 2023
Link: https://doi.org/10.1109/..
 
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10

On the Feasibility of Using a High-Level Solver within Robo..:

, In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI),
Benavides-Robles, Maria Torcoroma ; Cruz-Duarte, Jorge M. ; Ortiz-Bayliss, Jose C.. - p. 1274-1279 , 2023
Link: https://doi.org/10.1109/..
 
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11

SIGNRL: A Population-Based Reinforcement Learning Method fo..:

, In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI),
Zambrano-Gutierrez, Daniel F. ; Molina-Porras, Alberto C. ; Ovalle-Magallanes, Emmanuel... - p. 1443-1448 , 2023
Link: https://doi.org/10.1109/..
 
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12

Recursive Hyper-Heuristics for the Job Shop Scheduling Prob..:

, In: 2023 IEEE Congress on Evolutionary Computation (CEC),
Vela, Alonso ; Cruz-Duarte, Jorge M. ; Ortiz-Bayliss, Jose Carlos. - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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13

Hyper-Heuristics Meet Controller Design: Improving Electric..:

, In: 2023 IEEE Congress on Evolutionary Computation (CEC),
Valencia-Rivera, Gerardo Humberto ; Ortiz-Bayliss, Jose Carlos ; Cruz-Duarte, Jorge M... - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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14

A Transfer Learning Hyper-heuristic Approach for Automatic ..:

, In: 2022 IEEE Congress on Evolutionary Computation (CEC),
Cruz-Duarte, Jorge M. ; Amaya, Ivan ; Ortiz-Bayliss, Jose Carlos. - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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15

A Primary Study on Hyper-Heuristics Powered by Artificial N..:

, In: 2022 IEEE Congress on Evolutionary Computation (CEC),
Tapia-Avitia, Jose M. ; Cruz-Duarte, Jorge M. ; Amaya, Ivan... - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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