Dipl.-Inf. Tobias Wagner
Kontakt
- Anschrift
- Institut für Spanende Fertigung
Technische Universität Dortmund
Baroper Straße 301
44227 Dortmund - Büro
- Modulgebäude 02.01.07
- Telefon
- 0231 755-5814
- wagner@isf.de
Aufgabenbereiche
- Evolutionäre mehrkriterielle Optimierung
- Flächenrekonstruktion
- Modellgestütze Optimierungsverfahren
- Empirische Modellierung
Projekte
- Informationstechnik, Messen und Reverse Engineering zur Prozesskettenoptimierung (SFB 708 – TP C4)
- Synthese und multikriterielle modellgestützte Optimierung von Prozessketten zur Herstellung von Bauteilen mit funktional gradierten Eigenschaften (SFB/TR30 – TP D5)
Veröffentlichungen
- A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets
- Preference Articulation by Means of the R2 Indicator
- Computer-Aided Planning and Optimisation of Manufacturing Processes for Functional Graded Components
- Statistically assisted identification of the material and friction parameters for modeling metal cutting processes using the FEA
- Optimization of cutting parameters for drilling Nickel-based alloys using statistical experimental design techniques
- On the properties of the R2 indicator
- On the Effect of Response Transformations in Sequential Parameter Optimization
- High-Dimensional Model-Based Optimization Based on Noisy Evaluations of Computer Games
- A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms
- Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements
- Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions
- Direct free-form deformation of NC programs for surface reconstruction and form-error compensation
- A Rank Transformation Can Improve Sequential Parameter Optimization
- A Subjective Review of the State of the Art in Model-Based Parameter Tuning
- On Expected-Improvement Criteria for Model-Based Multi-Objective Optimization
- Sequential Parameter Optimization of an Evolution Strategy for the Design of Mold Temperature Control Systems
- Online Convergence Detection for Evolutionary Multi-Objective Algorithms Revisited
- Empirical modeling of hard turning of AISI 6150 steel using design and analysis of computer experiments
- OCD: Ein Online Konvergenzkriterium für die evolutionäre, mehrkriterielle Optimierung
- Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms
- On the Use of Problem-Specific Candidate Generators for the Hybrid Optimization of Multi-Objective Production Engineering Problems
- Interactive Exploration and multi-objective optimization in planning of coupled thermo-mechanical manufacturing processes for graded structures
- Analysis of a Thermomechanically Coupled Forming Process Using Enhanced Design and Analysis of Computer Experiments
- A Procedure Model for Manufacturing Process Planning of Products with Graded Properties
- OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms
- Effects of 1-Greedy S-Metric-Selection on Innumerably Large Pareto Fronts
- Modellgestützte Optimierung von Fertigungsprozessen
- Efficient Modeling and Optimization of the Property Gradation of Self-Reinforced Polypropylene Sheets Within a Thermo-Mechanical Compaction Process
- Mehrkriterielle Optimierung in der spanenden Fertigung
- Machining of Inhomogeneous Workpieces
- Multiobjective Optimization on a Limited Budget of Evaluations Using Model-Assisted S-Metric Selection
- Model-Based Optimization Revisited: Towards Real-World Processes
- Clustered Multiple Generalized Expected Improvement: A Novel Infill Sampling Criterion for Surrogate Models
- Effiziente Modellbildung in der Zerspanung
- Designing Memetic Algorithms for Real-World Applications Using Self-Imposed Constraints
- ICSPEA: Evolutionary Five-Axis Milling Path Optimisation
- On the Design of Optimisers in Surface Reconstruction
- Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization
- ICSPEA: Integrating CMA-ES and SPEA2
- Reverse Engineering mittels hybrider Mehrzielalgorithmen
- Evolutionary Optimization of Dynamic Multi-objective Test Functions