Noor H. Awad

Orcid: 0000-0002-9971-4614

Affiliations:
  • University of Freiburg, Machine Learning Lab, Germany
  • Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore


According to our database1, Noor H. Awad authored at least 41 papers between 2013 and 2024.

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Bibliography

2024
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML.
J. Artif. Intell. Res., 2024

A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes.
CoRR, 2024

CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC.
CoRR, 2024

FairPFN: Transformers Can do Counterfactual Fairness.
CoRR, 2024

Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning.
CoRR, 2024

2023
MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization.
CoRR, 2023

Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Automated Dynamic Algorithm Configuration.
J. Artif. Intell. Res., 2022

Multi-objective Tree-structured Parzen Estimator Meets Meta-learning.
CoRR, 2022

2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Squirrel: A Switching Hyperparameter Optimizer.
CoRR, 2020

Differential Evolution for Neural Architecture Search.
CoRR, 2020

Learning Step-Size Adaptation in CMA-ES.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Evaluating the Performance of Adaptive GainingSharing Knowledge Based Algorithm on CEC 2020 Benchmark Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control.
CoRR, 2019

An efficient Differential Evolution algorithm for stochastic OPF based active-reactive power dispatch problem considering renewable generators.
Appl. Soft Comput., 2019

An Evolution Strategy with Progressive Episode Lengths for Playing Games.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction.
Swarm Evol. Comput., 2018

An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization.
Inf. Sci., 2018

A balanced fuzzy Cultural Algorithm with a modified Levy flight search for real parameter optimization.
Inf. Sci., 2018

An improved class of real-coded Genetic Algorithms for numerical optimization<sup>✰</sup>.
Neurocomputing, 2018

Differential Evolution with Stochastic Selection for Uncertain Environments: A Smart Grid Application.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
An Adaptive Multipopulation Differential Evolution With Dynamic Population Reduction.
IEEE Trans. Cybern., 2017

Multi-objective differential evolution based on normalization and improved mutation strategy.
Nat. Comput., 2017

CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization.
Inf. Sci., 2017

Minimizing THD of multilevel inverters with optimal values of DC voltages and switching angles using LSHADE-EpSin algorithm.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A novel differential crossover strategy based on covariance matrix learning with Euclidean neighborhood for solving real-world problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A modified cultural algorithm with a balanced performance for the differential evolution frameworks.
Knowl. Based Syst., 2016

A decremental stochastic fractal differential evolution for global numerical optimization.
Inf. Sci., 2016

A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization.
Inf. Sci., 2016

An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Differential evolution with stochastic fractal search algorithm for global numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Multi-population differential evolution with balanced ensemble of mutation strategies for large-scale global optimization.
Appl. Soft Comput., 2015

A Differential Evolution algorithm with success-based parameter adaptation for CEC2015 learning-based optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Cluster-Based Differential Evolution with Heterogeneous Influence for numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A novel class of niche hybrid Cultural Algorithms for continuous engineering optimization.
Inf. Sci., 2014

Balancing search direction in cultural algorithm for enhanced global numerical optimization.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

2013
Cultural Algorithm with improved local search for optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Hybrid niche Cultural Algorithm for numerical global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013


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