Search Results - "Bartz, Thomas"

Model-based methods for continuous and discrete global optimization by Bartz-Beielstein, Thomas, Zaefferer, Martin

“…[Display omitted] •Up-to-date survey and comprehensive taxonomy of surrogate model based optimization algorithms.•Covers continuous and discrete/combinatorial…”
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Recognizing and Acknowledging Worldview Diversity in the Inclusive Classroom by Bartz, Janieta, Bartz, Thomas

“…In the context of the increasing migration into Germany that has taken place in recent years and German efforts to establish an inclusive school system, which…”
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Evolutionary Algorithms by Bartz-Beielstein, Thomas, Branke, Jürgen, Mehnen, Jörn, Mersmann, Olaf

“…Evolutionary algorithm (EA) is an umbrella term used to describe population‐based stochastic direct search algorithms that in some sense mimic natural…”
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Online Machine Learning and Surrogate-Model-Based Optimization for Improved Production Processes Using a Cognitive Architecture by Hinterleitner, Alexander, Schulz, Richard, Hans, Lukas, Subbotin, Aleksandr, Barthel, Nils, Pütz, Noah, Rosellen, Martin, Bartz-Beielstein, Thomas, Geng, Christoph, Priss, Phillip

“…Cyber-Physical Systems (CPS) play an essential role in today’s production processes, leveraging Artificial Intelligence (AI) to enhance operations such as…”
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Improving the reliability of test functions generators by Fischbach, Andreas, Bartz-Beielstein, Thomas

“…Computational intelligence methods have gained importance in several real-world domains such as process optimization, system identification, data mining, or…”
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The Effectiveness of Lexicographic Tools for Optimising Written L1-Texts by Wolfer, Sascha, Bartz, Thomas, Weber, Tassja, Abel, Andrea, Meyer, Christian M, Müller-Spitzer, Carolin, Storrer, Angelika

“…Abstract We present an empirical study addressing the question whether, and to which extent, lexicographic writing aids improve text revision results. German…”
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A new taxonomy of global optimization algorithms by Stork, Jörg, Eiben, A. E., Bartz-Beielstein, Thomas

“…Surrogate-based optimization, nature-inspired metaheuristics, and hybrid combinations have become state of the art in algorithm design for solving real-world…”
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Multi-fidelity modeling and optimization of biogas plants by Zaefferer, Martin, Gaida, Daniel, Bartz-Beielstein, Thomas

“…[Display omitted] •Accurate and fast simulation models mandatory for the optimization of biogas plants.•Improve precision of simulation models without…”
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Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm by Rehbach, Frederik, Zaefferer, Martin, Fischbach, Andreas, Rudolph, Gunter, Bartz-Beielstein, Thomas

“…This article introduces a benchmarking framework that allows rigorous evaluation of parallel model-based optimizers for expensive functions. The framework…”
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Elevator group control as a constrained multiobjective optimization problem by Vodopija, Aljoša, Stork, Jörg, Bartz-Beielstein, Thomas, Filipič, Bogdan

“…Modern elevator systems are controlled by the elevator group controllers that assign moving and stopping policies to the elevator cars. Designing an adequate…”
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Co-optimizing for task performance and energy efficiency in evolvable robots by Rebolledo, Margarita, Zeeuwe, Daan, Bartz-Beielstein, Thomas, Eiben, A.E.

“…Evolutionary robotics is concerned with optimizing autonomous robots for one or more specific tasks. Remarkably, the energy needed to operate autonomously is…”
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Conditional inference trees for knowledge extraction from motor health condition data by Sardá-Espinosa, Alexis, Subbiah, Subanatarajan, Bartz-Beielstein, Thomas

“…Computational tools for the analysis of data gathered by monitoring systems are necessary because the amount of data steadily increases. Machine learning…”
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Optimization via multimodel simulation by Bartz-Beielstein, Thomas, Zaefferer, Martin, Pham, Quoc Cuong

“…Increasing computational power and the availability of 3D printers provide new tools for the combination of modeling and experimentation. Several simulation…”
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An empirical approach for probing the definiteness of kernels by Zaefferer, Martin, Bartz-Beielstein, Thomas, Rudolph, Günter

“…Models like support vector machines or Gaussian process regression often require positive semi-definite kernels. These kernels may be based on distance…”
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CAAI—a cognitive architecture to introduce artificial intelligence in cyber-physical production systems by Fischbach, Andreas, Strohschein, Jan, Bunte, Andreas, Stork, Jörg, Faeskorn-Woyke, Heide, Moriz, Natalia, Bartz-Beielstein, Thomas

“…This paper introduces CAAI, a novel cognitive architecture for artificial intelligence in cyber-physical production systems. The goal of the architecture is to…”
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Cognitive capabilities for the CAAI in cyber-physical production systems by Strohschein, Jan, Fischbach, Andreas, Bunte, Andreas, Faeskorn-Woyke, Heide, Moriz, Natalia, Bartz-Beielstein, Thomas

“…This paper presents the cognitive module of the Cognitive Architecture for Artificial Intelligence (CAAI) in cyber-physical production systems (CPPS). The goal…”
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Metamodel-based optimization of hot rolling processes in the metal industry by Jung, Christian, Zaefferer, Martin, Bartz-Beielstein, Thomas, Rudolph, Günter

“…To maximize the throughput of a hot rolling mill, the number of passes has to be reduced. This can be achieved by maximizing the thickness reduction in each…”
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Optimization via multimodel simulation: A new approach to optimization of cyclone separator geometries by Bartz-Beielstein, Thomas, Zaefferer, Martin, Pham, Quoc Cuong

“…Increasing computational power and the availability of 3D printers provide new tools for the combination of modeling and experimentation. Several simulation…”
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Stochastic satellite tracking with constrained budget via structured-chromosome genetic algorithms by Gentile, Lorenzo, Greco, Cristian, Minisci, Edmondo, Bartz-Beielstein, Thomas, Vasile, Massimiliano

“…This paper focuses on the scheduling under uncertainty of satellite tracking from a heterogeneous network of ground stations taking into account allocated…”
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Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUI by Bartz-Beielstein, Thomas

“…Batch Machine Learning (BML) reaches its limits when dealing with very large amounts of streaming data. This is especially true for available memory, handling…”
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