Multiobjective Robust Design Optimization of docked ligand
The multi-objective approach to ligand docking could be used to tune the coefficient of a generic weighted-sum scoring function in a single-objective analysis, whereas a robust design-based approach seems to allow for an effective limited inclusion of receptor flexibility.
Optimization under uncertainty of tear substitute rheological properties
Shear-thinning tear substitutes have been studied as single and multi-objective optimization problem in order to identify their best performance. Both deterministic and stochastic analysis have been performed (MORDO function in modeFRONTIER), establishing low sensitivity to practical uncertainties.
Enhancing Multi-Disciplinary Optimization by Initial Systematic Screening
This paper presents one way of dealing with the optimization of complex systems by making use of the great experience that is held by systems engineers, allowing designers to systematically split up the problem into a number of sequential phases of screening. Owing to this new method, used with success at Volvo Cars, optimum solutions can be identified faster, shortening the development time from months to weeks.
Robust design optimization and the handling of uncertainties
Robust design optimization and the handling of uncertainties: modeFRONTIER and ANSYS engineering simulation software combine to produce a solution for parametric design optimization.
History and Applications of modeFRONTIER at Ford Motor Company
In Ford modeFRONTIER is used in different disciplines: safety analysis, NVH (noise, vibration and harshness), aerodynamics and fuel cells. An example is presented for each of those disciplines, as well as the main advantages of the optimization platform.
Robust Design & Reliability
The modeFRONTIER approach of dealing with uncertainties is based on Multi-Objective Robust Design Optimization (MORDO). This consists of investigating the noise factors in the neighbourhood of a sample design with a given probability distribution through a multi-objective optimization algorithm aimed at optimizing mean values while minimizing their variations.
Rooftop photovoltaic (PV) systems for industrial halls - achieving economic benefit via lowering energy demand
Industrial halls are characterized by their relatively high roof-to-floor ratio, which facilitates ready deployment of renewable energy generation, such as photovoltaic (PV) systems, on the rooftop. This paper performs a cost–benefit analysis in which the monetary return due to electricity generation of PV system is stacked against the annualized cost of the PV system investment.