Herbert Palm
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View article: PROBLEM-TAILORED MULTI-OBJECTIVE OPTIMIZATION ALGORITHM CONSTRUCTION BY PARETO REFLECTIONS
PROBLEM-TAILORED MULTI-OBJECTIVE OPTIMIZATION ALGORITHM CONSTRUCTION BY PARETO REFLECTIONS Open
Multi-criteria decision-making requires knowledge about trade-offs between conflicting targets. Multi-objective optimization (MOO) strives to provide this information in terms of the set of Pareto optimal solutions. From an application poi…
View article: A multi-stage lithium-ion battery aging dataset using various experimental design methodologies
A multi-stage lithium-ion battery aging dataset using various experimental design methodologies Open
This dataset encompasses a comprehensive investigation of combined calendar and cycle aging in commercially available lithium-ion battery cells (Samsung INR21700-50E). A total of 279 cells were subjected to 71 distinct aging conditions acr…
View article: An interdisciplinary approach for successful municipal energy transition communication
An interdisciplinary approach for successful municipal energy transition communication Open
The energy transition toward a sustainable, decentralized energy supply requires the active participation of local municipalities. Its success depends on acceptance and participation across all sections of the population. A role-specific c…
View article: Urban systems exploration: A generic process for multi-objective urban planning to support decision making in early design phases
Urban systems exploration: A generic process for multi-objective urban planning to support decision making in early design phases Open
The competition for limited urban spaces due to the growing demand for both living space and green areas causes conflicts in urban development. This paper aims to support urban planners with a systematic multi-criteria decision making proc…
View article: Multi-Stage Optimal Experimental Design and Setup Strategies in Absence of System Pre-Knowledge
Multi-Stage Optimal Experimental Design and Setup Strategies in Absence of System Pre-Knowledge Open
Optimal Experimental Design (OED) aims to maximize information about model parameters with minimal experiments. Methodically, OED is based on the principle of maximizing Fisher information. The calculation of an optimized test plan thereby…
View article: Framework for the Multi-Objective Optimization of Hybrid Fuel Cell System Design and Operation
Framework for the Multi-Objective Optimization of Hybrid Fuel Cell System Design and Operation Open
Fuel cell systems (FCSs) are based on a number of components whose electrochemical and physical interactions during operation are not fully understood either by empirical experience or by extensive modeling. The related FCS complexity limi…
View article: Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines
Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines Open
Multiobjective hyperparameter optimization is applied to find optimal artificial neural network (ANN) architectures used for optimal feedforward torque control (OFTC) of synchronous machines. The proposed framework allows to systematically…
View article: Multi-objective hyperparameter optimization of artificial neural networks for optimal feedforward torque control of synchronous machines
Multi-objective hyperparameter optimization of artificial neural networks for optimal feedforward torque control of synchronous machines Open
Multi-objective hyperparameter optimization (MO-HPO) is applied to find optimal artificial neural network (ANN) architectures used for optimal feedforward torque control (OFTC) of synchronous machines. The proposed framework allows to syst…
View article: Multi-objective hyperparameter optimization of artificial neural networks for optimal feedforward torque control of synchronous machines
Multi-objective hyperparameter optimization of artificial neural networks for optimal feedforward torque control of synchronous machines Open
Multi-objective hyperparameter optimization (MO-HPO) is applied to find optimal artificial neural network (ANN) architectures used for optimal feedforward torque control (OFTC) of synchronous machines. The proposed framework allows to syst…
View article: Framework for continuous transition to Agile Systems Engineering in the Automotive Industry
Framework for continuous transition to Agile Systems Engineering in the Automotive Industry Open
The increasing pressure within VUCA (volatility, uncertainty, complexity and ambiguity) driven environments causes traditional, plan-driven Systems Engineering approaches to no longer suffice. Agility is then changing from a "nice-to-have"…
View article: Reinforcement Learning-Based Hybrid Multi-Objective Optimization Algorithm Design
Reinforcement Learning-Based Hybrid Multi-Objective Optimization Algorithm Design Open
The multi-objective optimization (MOO) of complex systems remains a challenging task in engineering domains. The methodological approach of applying MOO algorithms to simulation-enabled models has established itself as a standard. Despite …
View article: Gaussian Process Regression Based Multi-Objective Bayesian Optimization for Power System Design
Gaussian Process Regression Based Multi-Objective Bayesian Optimization for Power System Design Open
Within a disruptively changing environment, design of power systems becomes a complex task. Meeting multi-criteria requirements with increasing degrees of freedom in design and simultaneously decreasing technical expertise strengthens the …
View article: Pareto-optimal power flow control in heterogeneous battery energy storage systems
Pareto-optimal power flow control in heterogeneous battery energy storage systems Open
This research proposes a methodological framework that effectively and efficiently identifies Pareto-optimal solutions of power flow control strategies (PFCSs) in heterogeneous battery energy storage systems (BESSs) and aims at achieving o…
View article: Parameter Individual Optimal Experimental Design and Calibration of Parametric Models
Parameter Individual Optimal Experimental Design and Calibration of Parametric Models Open
Parametric models allow to reflect system behavior in general and characterize individual system instances by specific parameter values. For a variety of scientific disciplines, model calibration by parameter quantification is therefore of…
View article: Hyper Space Exploration A Multicriterial Quantitative Trade-Off Analysis for System Design in Complex Environment
Hyper Space Exploration A Multicriterial Quantitative Trade-Off Analysis for System Design in Complex Environment Open
Successful engineering requires environmentally adapted procedural and architectural approaches. While dealing with complicated issues has become an engineering standard mastering uncertainties in complex environment is still a major issue…