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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Thomas Weisswange, Hifza Javed, Manuel Dietrich, Tuan Pham, Maria Parriera, Michael Sack, Nawid Jamali,
"What Could a Social Mediator Robot Do? Lessons from Real-World Mediation Scenarios",
40th IEEE Conference on Robotics and Automation (ICRA 2023) Workshop: Towards a Balanced Cyberphysical Society: A Focus on Group Social Dynamics, 2023.
Abstract
The use of social robots as instruments for social mediation has been gaining traction in the field of Human-Robot Interaction (HRI).
The design of such robots and their behaviors is often driven by technological platforms and experimental set-ups which can be created in a laboratory.
To gain relevance for changing social relations of people in the real world however, it is also important to incorporate existing needs and implications of every...
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Leonore Röseler, Ingo Scholtes, Christoph Gote,
"A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations",
16th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE 2023), 2023.
Abstract
Background: Despite a growing body of literature on the impact of software bots on open source software development teams, their effects on team communication, coordination, and collaboration practices are not well understood. Bots can have negative consequences, such as producing information overload or reducing interactions between developers. Objective: The objective of this study is to investigate the effect of specific GitHub Actions on the ...
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Christiane Attig, Tim Schrills, Markus Gödker, Christiane Wiebel, Patricia Wollstadt, Thomas Franke,
"Enhancing Trust in Smart Charging Agents—The Role of Traceability for Human-Agent-Cooperation",
HCI International 2023 – Late Breaking Papers. HCII 2023., vol. 14059, 2023.
Abstract
Introduction and background: The EU aims for climate neutrality by 2050, which necessitates
a comprehensive transformation of the transport sector, including a 90% reduction in
emissions [3]. Consequently, the demand for electric vehicles (EVs) will strongly rise within the
next years. It has been argued that this demand will pose a challenge for the stability of the
power grid [6] – particularly if EVs are charged with renewable electr...
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Christiane Wiebel, Matti Krüger, Patricia Wollstadt,
"Measuring cooperation in Hanabi agents using information theory",
International Conference on Hybrid Human-Artificial Intelligence (HHAI 2023) , 2023.
Abstract
We propose to use a novel measure from information theory, called synergistic information, to measure cooperativity between two interacting agents. The synergy quantifies joint effects of two inputs towards a target that can not be obtained from either input alone. We argue that this definition of the synergy corresponds to popular notions of cooperation from prior art. In particular, we propose to estimate the synergy between two agents' actions...
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Andreas Neofytou, Jaeyub Hyun, Thiago Rios, Mariusz Bujny, Stefan Menzel, Hyunsun Kim,
"Coupled Multidisciplinary Topology Optimization Methodology and Platform: Noise Minimization in Vehicle Cabin using 3D Level Set Topology Optimization considering Acoustic-structure Interaction",
HRI-EU, 2023.
Abstract
This report summarizes the second year research of the project Coupled Multidisciplinary Topology Optimization Methodology and Platform. The modularized level set topology optimization (LSTO) methodology developed in the first year was applied to solve a vibroacoustic optimization problem in a simplified 3D vehicle cabin considering acoustic-structure interaction. Our objective was to minimize the noise generated at different points in the cabin ...
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Linus Ekstrom, Noah Wach, Manuel Rudolph, Fred Jendrzejewski, Sebastian Schmitt,
"Data re-uploading with a single qudit",
European Quantum AI summer school, 2023.
Abstract
Poster presentation at European Quantum AI summer school. ...
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Leonore Röseler, Ingo Scholtes, Christoph Gote,
"A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations",
arXiv, 2023.
Abstract
Background: Despite a growing body of literature on the impact of software bots on open source software development teams, their effects on team communication, coordination, and collaboration practices are not well understood. Bots can have negative consequences, such as producing information overload or reducing interactions between developers. Objective: The objective of this study is to investigate the effect of specific GitHub Actions on the ...
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Steffen Limmer, Johannes Varga, Guenther Raidl,
"Large Neighborhood Search for Electric Vehicle Fleet Scheduling",
Energies Journal, 2023.
Abstract
This work considers the problem of planning how a fleet of shared electric vehicles is charged and used for serving a set of reservations. While exact approaches can be used to efficiently solve small to medium-sized instances of this problem, heuristic approaches have been demonstrated to be superior in larger instances. The present work proposes a large neighborhood search approach for solving this problem, which employs a mixed integer linear ...
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Yannick Deller, Sebastian Schmitt, Maciej Lewenstein, Steve Lenk, Marika Federer, Fred Jendrzejewski, Philipp Hauke, Valentin Kasper,
"Quantum approximate optimization algorithm for qudit systems",
Physical Review A, vol. 107, pp. 062410 , 2023.
Abstract
A frequent starting point of quantum computation platforms are two-state quantum systems, i.e., qubits. However, in the context of integer optimization problems, relevant to scheduling optimization and operations research, it is often more resource-efficient to employ quantum systems with more than two basis states, so-called qudits. Here, we discuss the quantum approximate optimization algorithm (QAOA) for qudit systems. We illustrate how the QA...
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