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09/05/2023
MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing
A clear need for automatic anomaly detection applied to automotive testi...
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06/05/2023
Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems
Locality is a crucial property for efficiently optimising black-box prob...
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05/24/2023
Challenges of ELA-guided Function Evolution using Genetic Programming
Within the optimization community, the question of how to generate new o...
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05/24/2023
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
Box-constraints limit the domain of decision variables and are common in...
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04/25/2023
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems
The domain of an optimization problem is seen as one of its most importa...
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12/13/2022
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems
Decades of progress in simulation-based surrogate-assisted optimization ...
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11/29/2022
BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances
Benchmarking is a key aspect of research into optimization algorithms, a...
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11/14/2022
Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve
Performing simulations with a realistic biophysical auditory nerve fiber...
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01/17/2022
Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images
Automated symmetry detection is still a difficult task in 2021. However,...
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09/20/2021
Benchmarking the Status of Default Pseudorandom Number Generators in Common Programming Languages
The ever-increasing need for random numbers is clear in many areas of co...
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06/29/2021
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches
This paper surveys the field of multiagent deep reinforcement learning. ...
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05/21/2021
Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge
Optimal Lens Design constitutes a fundamental, long-standing real-world ...
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05/14/2021
Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution
Constraint handling is one of the most influential aspects of applying m...
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05/10/2021
Emergence of Structural Bias in Differential Evolution
Heuristic optimisation algorithms are in high demand due to the overwhel...
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05/10/2021
Is there Anisotropy in Structural Bias?
Structural Bias (SB) is an important type of algorithmic deficiency with...
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04/22/2020
Differential evolution outside the box
This paper investigates how often the popular configurations of Differen...
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01/18/2019
Infeasibility and structural bias in Differential Evolution
This paper thoroughly investigates a range of popular DE configurations ...
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08/22/2014
