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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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07/19/2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis
Generative Engineering Design approaches driven by Deep Generative Model...
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06/18/2023
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
Extending a recent suggestion to generate new instances for numerical bl...
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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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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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03/31/2023
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
We propose DoE2Vec, a variational autoencoder (VAE)-based methodology to...
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03/08/2023
Towards Self-adaptive Mutation in Evolutionary Multi-Objective Algorithms
Parameter control has succeeded in accelerating the convergence process ...
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02/02/2023
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler
Submodular functions play a key role in the area of optimization as they...
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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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12/07/2022
A Decision Diagram Operation for Reachability
Saturation is considered the state-of-the-art method for computing fixpo...
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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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10/30/2022
Saliency Can Be All You Need In Contrastive Self-Supervised Learning
We propose an augmentation policy for Contrastive Self-Supervised Learni...
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09/21/2022
Deep Learning based pipeline for anomaly detection and quality enhancement in industrial binder jetting processes
Anomaly detection describes methods of finding abnormal states, instance...
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07/13/2022
Reinforcement Learning Assisted Recursive QAOA
Variational quantum algorithms such as the Quantum Approximation Optimiz...
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06/22/2022
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications
Automated model selection is often proposed to users to choose which mac...
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06/21/2022
Quantum-Enhanced Selection Operators for Evolutionary Algorithms
Genetic algorithms have unique properties which are useful when applied ...
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06/20/2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets
As restricted quantum computers are slowly becoming a reality, the searc...
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05/12/2022
Equivariant quantum circuits for learning on weighted graphs
Variational quantum algorithms are the leading candidate for near-term a...
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04/20/2022
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms
The stochastic nature of iterative optimization heuristics leads to inhe...
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04/13/2022
Chaining of Numerical Black-box Algorithms: Warm-Starting and Switching Points
Dynamic algorithm selection can be beneficial for solving numerical blac...
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03/24/2022
Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines
Data-driven modeling is an imperative tool in various industrial applica...
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03/17/2022
Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace
Modern optimization strategies such as evolutionary algorithms, ant colo...
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11/07/2021
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
We present IOHexperimenter, the experimentation module of the IOHprofile...
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08/19/2021
Lifelong Computing
Computing systems form the backbone of many aspects of our life, hence t...
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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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06/11/2021
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance
Finding the best configuration of algorithms' hyperparameters for a give...
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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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05/10/2021
Is there Anisotropy in Structural Bias?
Structural Bias (SB) is an important type of algorithmic deficiency with...
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05/10/2021
Designing Air Flow with Surrogate-assisted Phenotypic Niching
In complex, expensive optimization domains we often narrowly focus on fi...
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05/10/2021
An Analysis of Phenotypic Diversity in Multi-Solution Optimization
More and more, optimization methods are used to find diverse solution se...
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05/10/2021
Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search
We consider multi-solution optimization and generative models for the ge...
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04/16/2021
Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants
In this study, we analyze behaviours of the well-known CMA-ES by extract...
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04/08/2021
Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling
Within machine learning model evaluation regimes, feature selection is a...
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03/25/2021
Robust subgroup discovery
We introduce the problem of robust subgroup discovery, i.e., finding a s...
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03/11/2021
Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks
Convolutional neural network training can suffer from diverse issues lik...
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03/11/2021
PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data
Computational Fluid Dynamics (CFD) simulations are a very important tool...
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03/04/2021
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling
In the context of optimization approaches to engineering applications, t...
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02/25/2021
Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules
Introducing new algorithmic ideas is a key part of the continuous improv...
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02/12/2021
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection
A key challenge in the application of evolutionary algorithms in practic...
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02/06/2021
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
Differential evolution is one of the most prestigious population-based s...
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11/12/2020
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study
Some real-world domains, such as Agriculture and Healthcare, comprise ea...
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11/01/2020
Neural Network Design: Learning from Neural Architecture Search
Neural Architecture Search (NAS) aims to optimize deep neural networks' ...
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07/08/2020
IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic
We propose IOHanalyzer, a new software for analyzing the empirical perfo...
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06/21/2020
A Modular Hybridization of Particle Swarm Optimization and Differential Evolution
In swarm intelligence, Particle Swarm Optimization (PSO) and Differentia...
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06/16/2020
Discovering outstanding subgroup lists for numeric targets using MDL
The task of subgroup discovery (SD) is to find interpretable description...
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06/11/2020
Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case
One of the most challenging problems in evolutionary computation is to s...
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06/10/2020
Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability
We investigate a family of (μ+λ) Genetic Algorithms (GAs) which creates ...
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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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04/15/2020