Refine
Has Fulltext
- yes (16)
Keywords
- Optimierung (11)
- Modellierung (9)
- Soft Computing (7)
- Simulation (4)
- Computational Intelligence (3)
- Evolutionärer Algorithmus (3)
- Genetic Programming (3)
- Globale Optimierung (3)
- Mehrkriterielle Optimierung (3)
- Optimization (3)
- Sequentielle Parameter Optimierung (3)
- Versuchsplanung (3)
- Co-Kriging (2)
- Evolutionary Algorithms (2)
- Evolutionäre Algorithmen (2)
- Genetisches Programmieren (2)
- Kriging (2)
- Metaheuristik (2)
- Multi-Criteria Optimization (2)
- Multiobjective Optimization (2)
- Optimierungsproblem (2)
- Prognose (2)
- Sequential Parameter Optimization (2)
- Surrogat-Modellierung (2)
- Surrogate Modeling (2)
- Zeitreihenanalyse (2)
- Adaptive Schrittweite (1)
- Biogas (1)
- Biogas Plant (1)
- Board Games (1)
- Cyclone Dust Separator (1)
- Datenanalyse (1)
- Design of Experiments (1)
- Ensemble Methods (1)
- Entstauber (1)
- Event Detection (1)
- Evolution Strategies (1)
- Evolutionsstrategie (1)
- Evolutionsstrategien (1)
- Expected Improvement (1)
- Fehlende Daten (1)
- Finanzwirtschaft (1)
- Genetic Algorithms (1)
- Genetic programming (1)
- Genetische Algorithmen (1)
- Genetische Programmierung (1)
- Imputation (1)
- Klassifikation (1)
- Maschinelles Lernen (1)
- Metamodel (1)
- Missing Data (1)
- Mixed Models (1)
- Mixed-Effects Models (1)
- Modeling (1)
- Modelling (1)
- Modelllernen (1)
- Multi-criteria Optimization (1)
- Multi-fidelity (1)
- N-tuple Systems (1)
- Online Adaptation (1)
- Parametertuning (1)
- R (1)
- Regression (1)
- Reinforcement Learning (1)
- Simulated annealing (1)
- Simulationsmodell (1)
- Software (1)
- Statistics (1)
- Statistische Versuchsplanung (1)
- Surrogate Models (1)
- Surrogate Optimization (1)
- Surrogate-Model-Based Optimization (1)
- Surrogate-model-based Optimization (1)
- Surrogatmodellbasierte Optimierung (1)
- System Identification (1)
- Systemidentifikation (1)
- Temporal Difference Learning (TDL) (1)
- Time-series (1)
- Unsicherheit (1)
- Varianzanalyse (1)
- Vorverarbeitung (1)
- Wasserwirtschaft (1)
- Water Quality Monitoring (1)
- Zeitreihe (1)
- Zylon Enstauber (1)
- classification (1)
- model-assisted optimization (1)
- modellbasierte Optimierung (1)
- regression (1)
Institute
- Fakultät 10 / Institut für Informatik (16) (remove)
Computational intelligence methods have gained importance in several real-world domains such as process optimization, system identification, data mining, or statistical quality control. Tools are missing, which determine the applicability of computational intelligence methods in these application domains in an objective manner. Statistics provide methods for comparing algorithms on certain data sets. In the past, several test suites were presented and considered as state of the art. However, there are several drawbacks of these test suites, namely: (i) problem instances are somehow artificial and have no direct link to real-world settings; (ii) since there is a fixed number of test instances, algorithms can be fitted or tuned to this specific and very limited set of test functions; (iii) statistical tools for comparisons of several algorithms on several test problem instances are relatively complex and not easily to analyze. We propose amethodology to overcome these dificulties. It is based on standard ideas from statistics: analysis of variance and its extension to mixed models. This work combines essential ideas from two approaches: problem generation and statistical analysis of computer experiments.