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Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck , "An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization", IEEE Symposium Series on Computational Intelligence, 2019.
AbstractThis research investigates the potential of using meta-modeling techniques in the context of robust optimization namely optimization under uncertainty/noise. A systematic empirical comparison is performed for evaluating and comparing different meta-modeling techniques for robust optimization. The experimental setup includes three noise levels, six meta-modeling algorithms, and six benchmark problems from the continuous optimization domain, each f...
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Thiago de Jesus de Araujo Rios, Thomas Bäck, Bas van Stein, Bernhard Sendhoff, Stefan Menzel , "On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization", 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 791-798, 2019.
AbstractA crucial step for optimizing a system is the formulation of the objective function, although it is often overlooked, and part of it concerns the selection of the design parameters. One of the major concerns regarding the parameterization is the trade-off between exploring feasible solutions in the design space and maintaining the computational effort at an admissible level, aspect which is closely related to the dimensionality of the problem. In...
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Hesham Elsayed, Martin Weigel, Markus Funk, Max Mühlhäuser , "APS: A 3D Human Body Posture Set as a Baseline for Posture Guidance", PETRA DAEM (Designing Assistive Environments for Manufacturing) Workshop, 2019.
AbstractHuman postures are an important input modality for motion guidance and other application domains in HCI, e.g games, character animations, and interaction with public displays. However, prior research had to define their own whole body gestures, due to a lack of a standardized posture set. Hence, the interaction designs and evaluation results are difficult to compare. In this work, we contribute a novel human posture set based on prior research...
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Thiago de Jesus de Araujo Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel , "Scalability of Learning Tasks on 3D CAE Models using Point Cloud Autoencoders", 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1367-1374, 2019.
AbstractGeometric Deep Learning (GDL) methods have recently gained interest as powerful, high-dimensional models for approaching various geometry processing tasks. However, training deep neural network models on geometric input requires considerable computational effort, even more so if one considers typical problem sizes found in application domains such as engineering tasks, where geometric data are often orders of magnitude larger than the inputs curr...
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Sneha Saha, Thiago de Jesus de Araujo Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel , "Optimal Evolutionary Optimization Hyperparameters to Mimic Human User Behaviour", IEEE Symposium Series on Computational Intelligence, 2019.
AbstractShape morphing methods are a key representation in human user-centered design as well as computational optimization of engineering applications in the automotive domain. 3D digital objects are modified using deformation algorithms to alter the shape for optimal product performance or design aesthetics. We imagine a system which can learn from historic user deformation sequences and support the user in present design tasks by predicting potential ...
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Marios Kefalas, Steffen Limmer, Asteris Apostolidis, Markus Olhofer, Michael Emmerich, Thomas Bäck , "A Tabu Search-based Memetic Algorithm for the Flexible Job Shop Scheduling Problem", Proceedings of the Genetic and Evolutionary Computation Conference Companion, {GECCO} 2019, pp. 1254-1262, 2019.
AbstractIn this paper we propose a tabu search-based memetic algorithm (TSM) for the multi-objective flexible job shop scheduling problem (FJSSP), with the objectives to minimize the makespan, the total workload and the critical workload. The problem is addressed in a Pareto manner, which targets a set of Pareto optimal solutions. The novelty of our method lies in the use of tabu search (TS) as the local search method as well as a mutation operator and t...
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Steffen Limmer , "Evaluation of Optimization-based EV Charging Scheduling with Load Limit in a Realistic Scenario", Energies, vol. 12, no. 24, 2019.
AbstractIn the literature, optimization-based approaches are frequently proposed for the control of electric vehicle charging. However, they are usually evaluated under simplifying assumptions and are not compared to more simple approaches. The present work compares optimization-based approaches with rule-based ones in a simple but realistic scenario, in which a certain limit for the total load has to be satisfied. The scenario is based on the situatio...
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Satchit Ramnath, Nikola Aulig, Mariusz Bujny, Stefan Menzel, Imtiaz Gandikota, Kurtis Horner , "Load Case Preference Patterns based on Parameterized Pareto-Optimal Vehicle Design Concept Optimization", European LS-DYNA Conference 2019, 2019.
AbstractClassical Topology Optimization (TO) methods aim to optimize the distribution of material within a design space for one given objective function and constraints. However, in the vehicle design process, there are many different load cases and several different objectives. Among them maximizing stiffness of components for regular working conditions, and maximizing energy absorption in exceptional loading conditions, for instance in crash events, ar...
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Manuel Dietrich and Thomas H Weisswange , "Distributive Justice as an Ethical Principle for Autonomous Vehicle Behavior Beyond Hazard Scenarios", Ethics and Information Technology, vol. 21, no. 3, pp. 227–239, 2019.
AbstractThrough modern driver assistant systems, algorithmic decisions already have a significant impact on the behavior of vehicles in everyday traffic. This will become even more prominent in the near future considering the development of autonomous driving functionality. The need to consider ethical principles in the design of such systems is generally acknowledged. However, scope, principles and strategies for their implementations are not yet clear....
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Hemant Kumar Singh, Tapabrata Ray, Tobias Rodemann, Markus Olhofer , "Identifying Solutions of Interest for Practical Many-objective Problems using Recursive Expected Marginal Utility", GECCO Workshop on Real-world Applications of Continuous and Mixed-integer Optimization , 2019.
AbstractReal-world design problems often involve optimization of multiple conflicting criteria, referred to as multi-objective optimization problems. In the recent years, increasing attention has been paid to make the multi-objective evolutionary algorithms scalable to problems with more than 3 objectives, also colloquially termed many-objective optimization problems. This has led to the emergence of a number of new techniques that can deliver a set of t...
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