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Jörg Deigmöller, Herbert Janßen, Oliver Fuchs, Julian Eggert , "Monocular Rear Approach Indicator for Motorcycles", International Conference on Copmuter Vision Theory and Applications (VISAPP), 2014.
AbstractConventional rear-view mirrors on motorcycles only allow a limited visibility as they are shaky and cover a small field of view. Especially at high speeds with strong headwind, it is difficult for the rider to turn his head to observe blind spots. To support the rider in observing the rear and blind-spots, a monocular system that indicates approaching vehicles is proposed in this paper. The vision based indication relies on sparse optical flo...
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Lars Gräning , "Shape Mining: Knowledge Extraction from Engineering Design Data", Bielefeld University , 2014.
AbstractThe modeling of natural processes and physical configurations on computer systems has grown to a major cornerstone for an efficient product synthesis process. In recent years methods from computational intelligence and data mining have been adopted from engineers and computer aided engineering (CAE) tools to raise the exploitation of computational data and resources. The modeling of the design data and the extraction of knowledge through data min...
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Christopher Priester, Sebastian Schmitt, Tiago de Paula Peixoto , "Limits and trade-offs of topological network robustness", PLOS ONE, 2014.
AbstractWe investigate the trade-off between the robustness against random and targeted removal of nodes from a network. To this end we utilize the stochastic blockmodel to study ensembles of infinitely large networks with arbitrary large-scale structures. We present results from numerical two-objective optimization simulations for networks with various fixed mean degree and a maximal number of up to five different blocks. The results...
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Haobo Fu, Peter R. Lewis, Bernhard Sendhoff, Ke Tang, Xin Yao , "What Are Dynamic Optimization Problems?", Congress on Evolutionary Computation, 2014.
AbstractDynamic Optimization Problems (DOPs) have been widely studied using Evolutionary Algorithms (EAs). Yet, a clear and rigorous definition of DOPs is lacking in the Evolutionary Dynamic Optimization (EDO) community. In this paper, we propose a unified definition of DOPs based on the idea of multiple-decision-making discussed in the Reinforcement Learning (RL) community. We draw a connection between EDO and RL by arguing that both of them are ...
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Xiaofen Lu, Ke Tang, Bernhard Sendhoff, Xin Yao , "A review of concurrent optimization methods", International Journal on Bio-inspired Computation, 2014.
AbstractDuring the past decades, products and their manufacturing processes have become much more complex than before. This have led to complex optimization problems that require optimizing the product development process or the physical aspects of products with respect to a lot of design variables. A common approach to address these problems is to decompose the problem into a number of simpler sub-problems and optimize each sub-problem concurrently. ...
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Yuki Tanigaki, Kaname Narukawa, Yusuke Nojima, Hisao Ishibuchi , "Preference-Based NSGA-II for Many-Objective Knapsack Problems", SCIS & ISIS 2014, 2014.
AbstractMany-objective optimization has attracted increa-seing attention in the evolutionary multi-objective optimization (EMO) community. It has been repeatedly demonstrated that many-objective optimization problems with four or more objectives are very difficult to solve for EMO algorithms. Whereas a number of performance improvement attempts have been proposed, many-objective optimization is still difficult for EMO algorithms. In our previous study, w...
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Xiaofen Lu, Ke Tang, Bernhard Sendhoff, Xin Yao , "A new self-adaptation scheme for differential evolution", Neurocomputing, vol. 146, pp. 2-16, 2014.
AbstractThe performance of Differential Evolution (DE) largely depends on the choice of trial vector generation strategy and the values of its control parameters. In the past years, quite a few DE variants have been developed to adaptively adjust the strategy and control parameters during the search process. However, these variants may not perform satisfactorily when coping with computationally expensive problems (CEPs), for which a satisfying solut...
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Daniel Sieger, Stefan Menzel, Mario Botsch , "RBF Morphing Techniques for Simulation-based Design Optimization", Tetrahedron IV, 2013.
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Benjamin Inden, Yaochu Jin, Robert Haschke, Helge Ritter, Bernhard Sendhoff , "An examination of different fitness and novelty based selection methods for the evolution of neural networks", Softcomputing, 2013.
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Tobias Rodemann , "The Impact of Variable Run Times on Evolutionary Optimization Algorithms ", ITI Symposium, 2013.
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