Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann,
"Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-objective Optimization",
IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 53, no. 2, pp. 763-775, 2023.
Abstract
It is highly desirable to adapt the reference vectors to unknown Pareto fronts in decomposition based evolutionary many-objective optimization. While adapting the reference vectors enhances the diversity of the achieved solutions, it often decelerates the convergence performance. To address this dilemma, we propose to adapt the reference vectors and the scalarizing functions in a coordinated way. On the one hand, the adaptation of the reference v...
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Guo Yu, Yaochu Jin, Markus Olhofer, Qiqi Liu, Wenli Du,
"Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis",
IEEE Transactions on Cybernetics, vol. 53, no. 4, pp. 2480-2493, 2023.
Abstract
In multiobjective decision making, most knee identification algorithms implicitly assume that the given solutions are well distributed and can provide sufficient information for identifying knee solutions. However, this assumption may fail to hold when the number of objectives is large or when the shape of the Pareto front is complex. To address the above issues, we propose a knee-oriented solution augmentation (KSA) framework that converts the P...
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Patricia Wollstadt and Matti Krüger,
"Quantifying cooperation between artificial agents using synergistic information",
2022 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1044-1051, 2023.
Abstract
When designing interactive human-machine sys-
tems, it is often assumed that it is desirable for such systems
to behave cooperatively towards a human operator in order to
improve trust, acceptance, and usability, but also to increase
task effi ciency. To design cooperative human-machine interaction
(HMI) systems, we have to be able to defi ne and quantitatively
describe cooperative behavior, for example, to control, optimize,
or evaluate t...
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Thomas Jatschka, Matthias Rauscher, Tobias Rodemann, Guenther Raidl,
"A Large Neighborhood Search for Battery Swapping Station Location Planning for Electric Scooters",
EuroCAST Conference 2022, pp. 121-129, 2023.
Abstract
We consider the Multi Objective Battery Swapping Station Location Problem (MOBSSLP) for planning the setup of new stations for exchanging depleted batteries of electric scooters with the aim of minimizing a three-part objective function while satisfying an expected amount of demand. Batteries returned at a station are charged and provided to customers again once they are full. We present a large neighborhood search (LNS) for solving MOBSSLP insta...
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Sebastian Brulin, Mariusz Bujny, Tim Puphal, Stefan Menzel,
"Data-driven Evolutionary Optimization of eVTOL Design Concepts based on Multi-agent Simulations",
American Institute of Aeronautics and Astronautics SciTech Forum, 2023.
Abstract
Electric vertical take-off and landing (eVTOL) aircraft design concepts are currently developed by many companies and research consortia. A relevant topic in the design process is very early on the optimal vehicle specification to maximize the operational profit of the fleet. This paper proposes a novel method that combines open vehicle design concepts with an Evolutionary Algorithm optimization scheme to find the optimal aircraft specifications,...
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Sandra Ittner, Dominik Mühlbacher, Mark Vollrath, Thomas Weisswange,
"Co-DAS: Developing a Co-Driver Assistance System to Reduce Passenger Discomfort ",
Frontiers in Psychology, vol. 14, pp. 17, 2023.
Abstract
The front seat passenger is often neglected when developing support systems for cars. There exist few examples of systems that provide information or interaction possibilities specifically to those passengers. Previous research indicated that the passive role of the passenger can frequently lead to a feeling of discomfort, potentially caused by missing information and missing control with respect to the driving situation. This paper proposes a va...
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Matti Krüger, Vanessa Krüger, Taisuke Mukai,
"Evaluation of Interfaces for Augmenting a Driver's Ability to Anticipate Front Risks in Real Traffic",
27th International Technical Conference on the Enhanced Safety of Vehicles (ESV), 2023.
Abstract
Effective alerts are often subject to a tradeoff between relevance and utility. While it is easier to acknowledge the
relevance of a warning about an imminent hazard than a more distant threat, the possibilities to act appropriately
in response to notifications decrease with threat distance. To benefit from the advantages of early notifications
without creating annoyance and ignorance, we introduce a variety of Human-Machine Interfaces that pr...
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Takahiro Matsuoka, Tsuyoshi Nojiri, Vanessa Krüger, Matti Krüger,
"Novel interfaces that enhance a driver’s ability to perceive forward collision risks",
27th International Technical Conference on the Enhanced Safety of Vehicles (ESV), 2023.
Abstract
Forward Collision Warning (FCW) systems that alert a driver about the risk of rear-end collisions can contribute to a reduction of traffic accidents caused by human errors. Typically, FCWs create alerts that appear late when the risk is already high and are of binary nature, i.e., either in an alerting state during high risk or not producing any alert at lower risks. The choice at what risk level to start alerting in a binary manner is subject to...
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Andreas Neofytou, Jaeyub Hyun, Mariusz Bujny, Thiago Rios, Stefan Menzel, Hyunsun Kim,
"A Modularized Level Set Topology Optimization Methodology For Vibro-acoustic Problems",
AIAA SciTech Forum, 2023.
Abstract
A modularized level set topology optimization methodology is used to solve vibro-acoustic topology optimization problems. The main objective is to minimize the sound pressure generated by vibrating structures at predefined locations within specified frequency ranges in an interior domain. The plug-and-play style architecture provides freedom to choose from a variety of software for the solution of the governing equations. Taking advantage of this...
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Thomas Jatschka, Tobias Rodemann, Guenther Raidl,
"A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning",
EvoCOP 2023, 2023.
Abstract
We propose a multilevel optimization algorithm (MLO) for solving large scale instances of the Multi-Period Battery Swapping Station Location Problem (MBSSLP), i.e., a problem for deciding the placement of battery swapping stations in an urban area. MLO generates a solution to an MBSSLP instance in three steps. First the problem size is iteratively reduced in a coarsening phase. Afterwards, a solution to the coarsest problem is obtained and the ob...
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