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ORCIDNoor H. Awad
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- affiliation: University of Freiburg, Machine Learning Lab, Germany
- affiliation: Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
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Journal Articles
- 2024
[j15]Hilde J. P. Weerts
, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter:
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. J. Artif. Intell. Res. 79: 639-677 (2024)- 2022
- [j14]Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor H. Awad, Theresa Eimer, Marius Lindauer, Frank Hutter:
Automated Dynamic Algorithm Configuration. J. Artif. Intell. Res. 75: 1633-1699 (2022) - 2019
- [j13]Noor H. Awad, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
An efficient Differential Evolution algorithm for stochastic OPF based active-reactive power dispatch problem considering renewable generators. Appl. Soft Comput. 76: 445-458 (2019) - 2018
- [j12]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Ali M. Shatnawi, Robert G. Reynolds:
An improved class of real-coded Genetic Algorithms for numerical optimization✰. Neurocomputing 275: 155-166 (2018) - [j11]Mostafa Z. Ali, Noor H. Awad, Robert G. Reynolds, Ponnuthurai N. Suganthan:
A balanced fuzzy Cultural Algorithm with a modified Levy flight search for real parameter optimization. Inf. Sci. 447: 12-35 (2018) - [j10]Noor H. Awad, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization. Inf. Sci. 451-452: 326-347 (2018) - [j9]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan:
Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction. Swarm Evol. Comput. 39: 141-156 (2018) - 2017
- [j8]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds:
CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization. Inf. Sci. 378: 215-241 (2017) - [j7]Noor H. Awad, Mostafa Z. Ali, Rehab M. Duwairi:
Multi-objective differential evolution based on normalization and improved mutation strategy. Nat. Comput. 16(4): 661-675 (2017) - [j6]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai Nagaratnam Suganthan, Robert G. Reynolds:
An Adaptive Multipopulation Differential Evolution With Dynamic Population Reduction. IEEE Trans. Cybern. 47(9): 2768-2779 (2017) - 2016
- [j5]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Rehab M. Duwairi, Robert G. Reynolds:
A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization. Inf. Sci. 334-335: 219-249 (2016) - [j4]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Edward Jaser:
A decremental stochastic fractal differential evolution for global numerical optimization. Inf. Sci. 372: 470-491 (2016) - [j3]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Robert G. Reynolds:
A modified cultural algorithm with a balanced performance for the differential evolution frameworks. Knowl. Based Syst. 111: 73-86 (2016) - 2015
- [j2]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan:
Multi-population differential evolution with balanced ensemble of mutation strategies for large-scale global optimization. Appl. Soft Comput. 33: 304-327 (2015) - 2014
- [j1]Mostafa Z. Ali, Noor H. Awad:
A novel class of niche hybrid Cultural Algorithms for continuous engineering optimization. Inf. Sci. 267: 158-190 (2014)
Conference and Workshop Papers
- 2023
- [c17]Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter:
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator. IJCAI 2023: 4380-4388 - 2021
- [c16]Noor H. Awad, Neeratyoy Mallik, Frank Hutter:
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization. IJCAI 2021: 2147-2153 - [c15]Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter:
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c14]Ali Wagdy Mohamed, Anas A. Hadi, Ali Khater Mohamed, Noor H. Awad:
Evaluating the Performance of Adaptive GainingSharing Knowledge Based Algorithm on CEC 2020 Benchmark Problems. CEC 2020: 1-8 - [c13]Gresa Shala, André Biedenkapp, Noor H. Awad, Steven Adriaensen, Marius Lindauer, Frank Hutter:
Learning Step-Size Adaptation in CMA-ES. PPSN (1) 2020: 691-706 - 2019
- [c12]Lior Fuks, Noor H. Awad, Frank Hutter, Marius Lindauer:
An Evolution Strategy with Progressive Episode Lengths for Playing Games. IJCAI 2019: 1234-1240 - 2018
- [c11]Vikas Palakonda, Noor H. Awad, Rammohan Mallipeddi, Mostafa Z. Ali, Kalyana C. Veluvolu, Ponnuthurai N. Suganthan:
Differential Evolution with Stochastic Selection for Uncertain Environments: A Smart Grid Application. CEC 2018: 1-7 - 2017
- [c10]Partha P. Biswas, Noor H. Awad, Ponnuthurai N. Suganthan, Mostafa Z. Ali, Gehan A. J. Amaratunga:
Minimizing THD of multilevel inverters with optimal values of DC voltages and switching angles using LSHADE-EpSin algorithm. CEC 2017: 77-82 - [c9]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan:
Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems. CEC 2017: 372-379 - [c8]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds, Ali M. Shatnawi:
A novel differential crossover strategy based on covariance matrix learning with Euclidean neighborhood for solving real-world problems. CEC 2017: 380-386 - 2016
- [c7]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds:
An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems. CEC 2016: 2958-2965 - [c6]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Edward Jaser:
Differential evolution with stochastic fractal search algorithm for global numerical optimization. CEC 2016: 3154-3161 - 2015
- [c5]Mostafa Z. Ali, Noor H. Awad, Rehab Duwairi, Jafar Albadarneh, Robert G. Reynolds, Ponnuthurai N. Suganthan:
Cluster-Based Differential Evolution with Heterogeneous Influence for numerical optimization. CEC 2015: 393-400 - [c4]Noor H. Awad, Mostafa Z. Ali, Robert G. Reynolds:
A Differential Evolution algorithm with success-based parameter adaptation for CEC2015 learning-based optimization. CEC 2015: 1098-1105 - 2014
- [c3]Mostafa Z. Ali, Noor H. Awad, Robert G. Reynolds:
Balancing search direction in cultural algorithm for enhanced global numerical optimization. SIS 2014: 336-342 - 2013
- [c2]Noor H. Awad, Mostafa Z. Ali, Rehab M. Duwairi:
Cultural Algorithm with improved local search for optimization problems. IEEE Congress on Evolutionary Computation 2013: 284-291 - [c1]Mostafa Z. Ali, Noor H. Awad, Robert G. Reynolds:
Hybrid niche Cultural Algorithm for numerical global optimization. IEEE Congress on Evolutionary Computation 2013: 309-316
Informal and Other Publications
- 2024
- [i12]Tidiane Camaret Ndir, André Biedenkapp, Noor H. Awad:
Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning. CoRR abs/2404.09521 (2024) - [i11]Jake Robertson, Noah Hollmann, Noor H. Awad, Frank Hutter:
FairPFN: Transformers Can do Counterfactual Fairness. CoRR abs/2407.05732 (2024) - [i10]Philipp Bordne, M. Asif Hasan, Eddie Bergman, Noor H. Awad, André Biedenkapp:
CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC. CoRR abs/2407.05789 (2024) - 2023
- [i9]Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter:
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. CoRR abs/2303.08485 (2023) - [i8]Noor H. Awad, Ayushi Sharma, Philipp Muller, Janek Thomas, Frank Hutter:
MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization. CoRR abs/2305.04502 (2023) - 2022
- [i7]Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor H. Awad, Theresa Eimer, Marius Lindauer, Frank Hutter:
Automated Dynamic Algorithm Configuration. CoRR abs/2205.13881 (2022) - [i6]Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter:
Multi-objective Tree-structured Parzen Estimator Meets Meta-learning. CoRR abs/2212.06751 (2022) - 2021
- [i5]Noor H. Awad, Neeratyoy Mallik, Frank Hutter:
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization. CoRR abs/2105.09821 (2021) - [i4]Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter:
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. CoRR abs/2109.06716 (2021) - 2020
- [i3]Noor H. Awad, Neeratyoy Mallik, Frank Hutter:
Differential Evolution for Neural Architecture Search. CoRR abs/2012.06400 (2020) - [i2]Noor H. Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter:
Squirrel: A Switching Hyperparameter Optimizer. CoRR abs/2012.08180 (2020) - 2019
- [i1]Jörg K. H. Franke, Gregor Köhler, Noor H. Awad, Frank Hutter:
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control. CoRR abs/1910.12824 (2019)
Coauthor Index
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