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01/25/2022
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems
This paper reports on the first international competition on AI for the ...
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07/29/2021
Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs
We have built a novel system for the surveillance of drinking water rese...
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07/19/2021
Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization
Machine learning algorithms such as random forests or xgboost are gainin...
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05/17/2021
Behavior-based Neuroevolutionary Training in Reinforcement Learning
In addition to their undisputed success in solving classical optimizatio...
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05/16/2021
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis
Crises like the COVID-19 pandemic pose a serious challenge to health-car...
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09/03/2020
Simulation of an Elevator Group Control Using Generative Adversarial Networks and Related AI Tools
Testing new, innovative technologies is a crucial task for safety and ac...
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08/14/2020
Continuous Optimization Benchmarks by Simulation
Benchmark experiments are required to test, compare, tune, and understan...
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01/09/2020
Expected Improvement versus Predicted Value in Surrogate-Based Optimization
Surrogate-based optimization relies on so-called infill criteria (acquis...
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07/22/2019
Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning
In the last years, reinforcement learning received a lot of attention. O...
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07/16/2019
Prediction of neural network performance by phenotypic modeling
Surrogate models are used to reduce the burden of expensive-to-evaluate ...
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02/09/2019
Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels
In NeuroEvolution, the topologies of artificial neural networks are opti...
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07/20/2018
Distance-based Kernels for Surrogate Model-based Neuroevolution
The topology optimization of artificial neural networks can be particula...
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07/10/2018
An Empirical Approach For Probing the Definiteness of Kernels
Models like support vector machines or Gaussian process regression often...
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07/03/2018
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming
Surrogate models are a well established approach to reduce the number of...
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07/03/2018
A First Analysis of Kernels for Kriging-based Optimization in Hierarchical Search Spaces
Many real-world optimization problems require significant resources for ...
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12/12/2017
In a Nutshell: Sequential Parameter Optimization
The performance of optimization algorithms relies crucially on their par...
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10/13/2015