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07/30/2022
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
Hyperparameter optimization (HPO) is a key component of machine learning...
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04/12/2022
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes
Exploratory Landscape Analysis is a powerful technique for numerically c...
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10/02/2020
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent
Multimodality is one of the biggest difficulties for optimization as loc...
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06/29/2020
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
In this work we focus on the well-known Euclidean Traveling Salesperson ...
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05/28/2020
Dynamic Bi-Objective Routing of Multiple Vehicles
In practice, e.g. in delivery and service scenarios, Vehicle-Routing-Pro...
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05/28/2020
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing
We consider a dynamic bi-objective vehicle routing problem, where a subs...
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05/27/2020
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries
Artificial neural networks in general and deep learning networks in part...
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05/27/2020
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection
The Traveling-Salesperson-Problem (TSP) is arguably one of the best-know...
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02/14/2019
Openbots
Social bots have recently gained attention in the context of public opin...
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11/28/2018
Automated Algorithm Selection: Survey and Perspectives
It has long been observed that for practically any computational problem...
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06/20/2018
Estimation of component reliability in repairable series systems with masked cause of failure by means of latent variables
In this work, we propose two methods, a Bayesian and a maximum likelihoo...
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11/24/2017
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning
In this paper, we build upon previous work on designing informative and ...
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09/26/2016
An Ontology of Preference-Based Multiobjective Metaheuristics
User preference integration is of great importance in multi-objective op...
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03/26/2015
