Software Technologie und Anwendungen Research Center Hagenberg
Publikationen
Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems
G. K. Kronberger, M. Kommenda, E. Lughofer, S. Saminger-Platz, A. Promberger, F. Nickel, S. M. Winkler, M. Affenzeller - Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems - Applied Soft Computing, 2018, pp. 610-624
Tribological systems are mechanical systems that rely on friction to transmit forces. The design and dimensioning of such systems requires prediction of... mehr Local Optimization and Complexity Control for Symbolic Regression
M. Kommenda - Local Optimization and Complexity Control for Symbolic Regression - Phd Thesis, Johannes Kepler Universität, Österreich, 2017, pp. 1-157
Symbolische Regression ist ein datenbasiertes, maschinelles Lernverfahren bei dem Vorhersagemodelle in Form mathematischer Ausdrücke ohne vorgegebener... mehr Dynamic Observation of Genotypic and Phenotypic Diversity for Different Symbolic Regression GP variants
M. Affenzeller, S. M. Winkler, B. Burlacu, G. K. Kronberger, M. Kommenda, S. Wagner - Dynamic Observation of Genotypic and Phenotypic Diversity for Different Symbolic Regression GP variants - GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Berlin, Germany, Deutschland, 2017, pp. 1553-1558
Understanding the relationship between selection, genotype-phenotype map and loss of population diversity represents an important step towards more effective... mehr Issues in the Development of AAL Systems: What Experts Think
J. D. Hallewell Haslwanter, G. Fitzpatrick - Issues in the Development of AAL Systems: What Experts Think - Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, Rhodes, Griechenland, 2017, pp. 201-208
Although the development of Ambient Assisted Living technologies is being financed to support older people, there are not many systems on the market to date.... mehr User-centered Development of a System to Support Assembly Line Workers
B. Blazevski, J. D. Hallewell Haslwanter - User-centered Development of a System to Support Assembly Line Workers - Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, Vienna, Österreich, 2017, pp. 1-7
This industrial perspective contribution describes the development of a prototype of a mobile worker assistance system to be used in the assembly line for... mehr Optimization Approaches for the Physical Internet
V. A. Hauder, E. Pitzer, M. Affenzeller - Optimization Approaches for the Physical Internet - On the Move to Meaningful Internet Systems: OTM 2017 Workshops (Lecture Notes in Computer Science, LNCS 10697), Rhodes, Griechenland, 2017, pp. 10
With the Physical Internet (PI), a global economic transformation towards a more holistic consideration and collaboration of different agents is promoted. Its... mehr Using Critical Incidents in Workshops to Inform eHealth Design
C. Grünloh, J. D. Hallewell Haslwanter, B. Kane, E. Lee, T. Lind, J. Moll, H. Rexhepi, I. Scandurra - Using Critical Incidents in Workshops to Inform eHealth Design - Human-Computer Interaction - INTERACT 2017, Mumbai, Indien, 2017, pp. 364-373
Demands for technological solutions to address the variety of problems in healthcare have increased. The design of eHealth is challenging due to e.g. the... mehr Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals
M. Affenzeller, B. Burlacu, S. M. Winkler, M. Kommenda, G. K. Kronberger, S. Wagner - Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 424-431
This paper proposes some algorithmic extensions to the gen- eral concept of offspring selection which itself is an algorithmic extension of genetic... mehr Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms
A. Beham, E. Pitzer, S. Wagner, M. Affenzeller - Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 8
The no free lunch (NFL) theorem puts a limit to the range of problems a certain metaheuristic algorithm can be applied to success- fully. For many methods... mehr Analysis of Schema Frequencies in Genetic Programming
B. Burlacu, M. Affenzeller, M. Kommenda, G. K. Kronberger, S. M. Winkler - Analysis of Schema Frequencies in Genetic Programming - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 7
Genetic Programming (GP) schemas are structural templates equivalent to hyperplanes in the search space. Schema theories provide information about the... mehr Solving the Traveling Thief Problem using Orchestration in Optimization Networks
J. Karder, A. Beham, S. Wagner, M. Affenzeller - Solving the Traveling Thief Problem using Orchestration in Optimization Networks - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 307-315
Optimization problems can sometimes be divided into multiple subproblems. Working on these subproblems instead of the actual master problem can have some... mehr Optimization Networks for Integrated Machine Learning
M. Kommenda, J. Karder, A. Beham, B. Burlacu, G. K. Kronberger, S. Wagner, M. Affenzeller - Optimization Networks for Integrated Machine Learning - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 392-399
Optimization networks are a new methodology for holistically solving interrelated problems that have been developed with combinatorial optimization problems in... mehr Measures for the Evaluation and Comparison of Graphical Model Structures
G. K. Kronberger, B. Burlacu, M. Kommenda, S. M. Winkler, M. Affenzeller - Measures for the Evaluation and Comparison of Graphical Model Structures - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 283-290
Structure learning is the identification of the structure of graphical models based solely on observational data and is NP-hard. An important component of many... mehr Facilitating Evolutionary Algorithm Analysis with Persistent Data Structures
E. Pitzer, M. Affenzeller - Facilitating Evolutionary Algorithm Analysis with Persistent Data Structures - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 416-423
Evolutionary algorithm analysis is often impeded by the large amounts of intermediate data that is usually discarded and has to be painstakingly reconstructed... mehr Analysing a Hybrid Model-Based Evolutionary Algorithm for a Hard Grouping Problem
S. Raggl, A. Beham, S. Wagner, M. Affenzeller - Analysing a Hybrid Model-Based Evolutionary Algorithm for a Hard Grouping Problem - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 347-354
We present a new hybrid model-based algorithm called Memetic Path Relinking (MemPR). MemPR incorporates ideas of memetic, evolutionary, model-based... mehr Analysis and Visualization of the Impact of Different Parameter Configurations on the Behavior of Evolutionary Algorithms
S. Wagner, A. Beham, M. Affenzeller - Analysis and Visualization of the Impact of Different Parameter Configurations on the Behavior of Evolutionary Algorithms - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 439-446
Evolutionary algorithms are generic and flexible optimization algorithms which can be applied to many optimization problems in different domains. Depending on... mehr A Fair Performance Comparison of Different Surrogate Optimization Strategies
B. Werth, E. Pitzer, M. Affenzeller - A Fair Performance Comparison of Different Surrogate Optimization Strategies - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 8
Much of the literature found on surrogate models presents new approaches or algorithms trying to solve black-box optimization problems with as little... mehr Sliding Window Symbolic Regression for Predictive Maintenance using Model Ensembles
J. Zenisek, M. Affenzeller, J. Wolfartsberger, M. Silmbroth, C. Sievi, A. Huskic, H. Jodlbauer - Sliding Window Symbolic Regression for Predictive Maintenance using Model Ensembles - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 8
Predictive Maintenance (PdM) is among the trending topics in the current Industry 4.0 movement and hence, intensively investigated. It aims at sophisticated... mehr The Development of Assistive Systems to Support Older People: Issues that Affect Success in Practice
J. D. Hallewell Haslwanter, G. Fitzpatrick - The Development of Assistive Systems to Support Older People: Issues that Affect Success in Practice - Technologies, Vol. 6, No. 1, 2017, pp. 1-21
Due to an aging population in Europe, the development of Ambient Assisted Living technologies (AAL) is increasingly the target of research financing. These... mehr Application of search-based software engineering methodologies for test suite optimization and evolution in mission critical mobile application development
A. Schuler - Application of search-based software engineering methodologies for test suite optimization and evolution in mission critical mobile application development - Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, Paderborn, Deutschland, 2017, pp. 1034-1037
The demand for high quality mobile applications is constantly rising, especially in mission critical settings. Thus, new software engineering methodologies are... mehr Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods
J. Hidalgo, J. Colmenar, G. K. Kronberger, S. M. Winkler, O. Garnica, J. Lanchares - Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods - JOURNAL OF MEDICAL SYSTEMS, Vol. 41, No. 142, 2017, pp. 1-20
Predicting glucose values on the basis of insulin and food intakes is a difficult task that people with diabetes need to do daily. This is necessary as it is... mehr Seite 1 von 9
