Refine
Document Type
- Working Paper (11)
- Report (7)
- Article (6)
- Preprint (2)
Language
- English (26) (remove)
Has Fulltext
- yes (26)
Keywords
- Optimization (9)
- Optimierung (5)
- Benchmarking (3)
- Modeling (3)
- 3D Printing (2)
- Combined simulation (2)
- Evolutionary Computation (2)
- Globale Optimierung (2)
- Maschinelles Lernen (2)
- Surrogate (2)
- Surrogate Models (2)
- Surrogate-based (2)
- 3D-Druck (1)
- Algorithm Tuning (1)
- Algorithmus (1)
- Artificial intelligence (1)
- Automated Learning (1)
- Automation (1)
- BBOB (1)
- Bayesian Learning (1)
- Bayesian Optimization (1)
- Bayesian Regression (1)
- Big Data (1)
- Big data platform (1)
- Business Intelligence (1)
- Ccomputational fluid dynamics (1)
- Cognition (1)
- Computational fluid dynamics (1)
- Conditional inference tree (1)
- Data Analysis (1)
- Data Mining (1)
- Data Modelling (1)
- Data-Warehouse-Konzept (1)
- Decision tree (1)
- Discrete Optimization (1)
- Electrostatic Precipitator (1)
- Ensemble Methods (1)
- Ensemble based modeling (1)
- Evolutionärer Algorithmus (1)
- Expensive Optimization (1)
- Experiment (1)
- Experimental Algorithmics (1)
- Feature selection (1)
- Flowcurve (1)
- Function Approximation (1)
- Funktionstest (1)
- Gaussian Process (1)
- Health condition monitoring (1)
- Hot rolling (1)
- Imputation (1)
- Industrie 4.0 (1)
- Industry 4.0 (1)
- Knowledge extraction (1)
- Kognition (1)
- Kriging (1)
- Künstliche Intelligenz (1)
- Lineare Regression (1)
- Machine Learning (1)
- Machine learning (1)
- Massive Online Analysis (1)
- Meta-model (1)
- Metaheuristics (1)
- Metaheuristik (1)
- Metal (1)
- Metamodel (1)
- Metamodell (1)
- Metamodels (1)
- Model Selection (1)
- Modelierung (1)
- Neural and Evolutionary Computing (1)
- Numerische Strömungssimulation (1)
- On-line Algorithm (1)
- Parallelization (1)
- Performance (1)
- R (1)
- Referenzmodell (1)
- Regression (1)
- SAP (1)
- SPOT (1)
- Sensor placement (1)
- Sensortechnik (1)
- Sequential Parameter Optimization (1)
- Simulation (1)
- Simulation-based Optimization (1)
- Soft Computing (1)
- Stacked Generalization (1)
- Stacking (1)
- Standardisierung (1)
- Surrogate Mod (1)
- Surrogate Model (1)
- Surrogate model (1)
- Surrogate model based optimization (1)
- Surrogates (1)
- Taxonomie (1)
- Taxonomy (1)
- Test Function (1)
- Test function generator (1)
- Time Series (1)
- Univariate Data (1)
- Variable reduction (1)
- Verunreinigung (1)
- Wasserverteilung (1)
- Water distribution systems (1)
Institute
- Fakultät für Informatik und Ingenieurwissenschaften (F10) (26) (remove)
Many black-box optimization problems rely on simulations to evaluate the quality of candidate solutions. These evaluations can be computationally expensive and very time-consuming. We present and approach to mitigate this problem by taking into consideration two factors: The number of evaluations and the execution time. We aim to keep the number of evaluations low by using Bayesian optimization (BO) – known to be sample efficient– and to reduce wall-clock times by executing parallel evaluations. Four parallelization methods using BO as optimizer are compared against the inherently parallel CMA-ES. Each method is evaluated on all the 24 objective functions of the Black-Box-Optimization-Benchmarking test suite in their 20-dimensional versions. The results show that parallelized BO outperforms the state-of-the-art CMA-ES on most of the test functions, also on higher dimensions.