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Tobias Rodemann , "A Many-Objective Configuration Optimization for Building Energy Management", WCCI 2018 Conference, 2018.
AbstractFor a commercial building or campus, the management of local energy production, storage, and consumption, promises substantial gains in efficiency and reduced costs and emissions. When facility managers are planning updates to an existing building complex, they face a variety of options for investment. This work targets to provide support for this investment decision by performing a many-objective optimization (MAO) of the system configuration c...
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Tobias Rodemann , "Industrial Portfolio Management for Many-Objective Optimization Algorithms", WCCI 2018 Conference, IEEE, 2018.
AbstractIn industry we see an increasing interest in (evolutionary) many objective optimization algorithms. However, the majority of engineers only using, not researching, optimizers have a limited understanding of the pros and cons of different algorithms and therefore rely on either third-party recommendations or benchmark tests to pick the most suitable methods for their problems. Unfortunately, most benchmarks are targeting an academic audience leav...
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Dennis Orth, Bram Bolder, Nico Andreas Steinhardt, Mark Dunn, Dorothea Kolossa, Martin Ernst Heckmann , "A Speech-Based On-Demand Intersection Assistant Prototype", 2018 IEEE Intelligent Vehicle Symposium, pp. 2048-2053, 2018.
AbstractWe have recently proposed a speech-based on-demand intersection assistant which helps the driver to handle urban intersections by informing him of the traffic situation on the right hand side and recommending suitable gaps in traffic. In a previous user study, conducted in a simulator, we could show that the system is in general well accepted and preferred by drivers compared to driving without assistance or with only visual support. In this pa...
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Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Thomas Bäck, Yu Liu, Michael Lew , "Learning Fluid Flows", IEEE World Congress on Computational Intelligence, 2018.
AbstractComputational FLuid Dynamics simulations are able to produce very complex and large outputs that describe the physical properties of fluids in various domains, such as flow of air around an object, the flow of air and benzine in an internal combustion engine and so on. These simulations are often too complex to be analyzed properly in a manual process. Data reduction and feature extraction techniques are usually used in order to simplify the simu...
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Tim Puphal, Malte Probst , Julian Eggert , "Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins", Intelligent Vehicles Symposium, 2018.
AbstractWe consider the problem of the correct behaviour planning at T-type intersection merge-ins of arbitrary geometry. A merge-in support system has to consider, similarly to a human driver, the gaps and timings of the other vehicles and estimate the chances that a merge-in lying several seconds ahead will be successful. Differently to previous models based on heuristic gap size rules, we present an approach which considers the general risk of the sit...
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Viktor Losing, Barbara Hammer, Heiko Wersing , "Tackling Heterogeneous Concept Drift with the Self Adjusting Memory (SAM)", Knowledge and Information Systems, vol. 54, no. 1, pp. 171-201, 2018.
AbstractData Mining in non-stationary data streams is gaining more attention recently, especially in the context of Internet of Things and Big Data. It is a highly challenging task, since the fundamentally different types of possibly occurring drift undermine classical assumptions such as data independence or stationary distributions. Available algorithms are either struggling with certain forms of drift or require a priori knowledge in terms of ...
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Ilham Naharudinsyah and Steffen Limmer , "Optimal Charging of Electric Vehicles with Trading on the Intraday Electricity Market", Energies, vol. 11, no. 6, 2018.
AbstractTrading on the energy market is a possible way to reduce the electricity costs of charging electric vehicles at public charging stations. In many European countries, it is possible to trade electricity until shortly before the period of delivery on so called intraday electricity markets. In the present work, the potential for reducing the electricity costs by trading on the intraday market is investigated using the example of the German market. ...
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Felix Treede , "Learning Robust Control Policies from Simulations with Perturbed Parameters ", Technical University of Darmstadt, 2018.
AbstractDeep reinforcement learning has a lot of potential to solve robotics motor tasks. However, deep learning algorithms suffer from a high sample complexity, thus training on the real robot is unfeasible. Training in simulated environments has been successful, but transferring the learned policies to the real robot is difficult. Recent research has focused on learning robust policies which can be transferred successfully. In this thesis, we devel...
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Nikolas Dahn, Stefan Fuchs, Horst-Michael Groß , "Situation Awareness for Autonomous Agents", RO-MAN 2018, 2018.
AbstractSituation Awareness is a prominent concept in the human factors community. It is used to analyze and eliminate common sources of human errors in complex tasks and has seen wide-spread use in many fields, such as aviation, health care or ergonomics. Humans who are situation aware are able to reliably generate competent performance, a skill that is also highly desired for other autonomous agents. Yet, the concept has seen only limited use in roboti...
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Jakub Kmec and Sebastian Schmitt , "Exploring the multi-modal fitness landscape of a realistic turbofan engine blade optimization", EngOpt 2018 - 6th International Conference on Engineering Optimisation, 2018.
AbstractAerodynamic shape optimization has established itself as a valuable tool in the engineering design process to achieve highly efficient results. A central aspect for such approaches is the mapping from the design parameters which encode the geometry of the shape to be improved to the quality criteria which describe its performance. The choices made in the setup of the optimization process strongly influence this mapping and thus a...
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