The research and innovation EU funded AGILE project has developed the next generation of aircraft Multidisciplinary Design and Optimization (MDO) processes, which target significant reductions in aircraft development costs and time to market, leading to more cost-effective and greener aircraft solutions. 19 industry, research and academia partners from Europe, Canada and Russia have developed solutions to cope with the challenges of collaborative design and optimization of complex aeronautical products. In order to accelerate the deployment of large-scale, collaborative multidisciplinary design and optimization, a novel approach, the so-called “AGILE Paradigm”, has been conceived. The AGILE Paradigm is defined as a “blueprint for MDO”, acce...
A short overview of the paradigm developed in the AGILE H2020 project: collaborative roles, the 5-st...
The research and innovation AGILE project has developed an approach, the so-called AGILE Paradigm, f...
AGILE targets multidisciplinary optimization using distributed analysis frameworks. The involvement ...
The research and innovation EU funded AGILE project has developed the next generation of aircraft Mu...
The EU funded AGILE project is developing the next generation of aircraft Multidisciplinary Design a...
The research and innovation AGILE project developed the next generation of aircraft Multidisciplinar...
As part of H2020 EU project “AGILE”, A Collaborative System of Systems Multidisciplinary Design Opt...
This paper presents methodological investigations performed in research activities in the field of M...
AGILE Project is a 3rd generation Aircraft Design Optimization project involving heterogeneous teams...
The AGILE project has developed the next generation of aircraft Multidisciplinary Design and Optimiz...
This paper presents a critical discussion on the automated problem formulation and workflow creation...
AGILE Project is developing the 3rd generation MDO processes, which will support the development of ...
At University of Naples Federico II (UniNa) the AGILE paradigm has been assumed as guideline to deve...
The ever-increasing complexity of systems under development in aerospace is demanding to streamline ...
This paper presents methodological investigations performed in research activities in the field of M...
A short overview of the paradigm developed in the AGILE H2020 project: collaborative roles, the 5-st...
The research and innovation AGILE project has developed an approach, the so-called AGILE Paradigm, f...
AGILE targets multidisciplinary optimization using distributed analysis frameworks. The involvement ...
The research and innovation EU funded AGILE project has developed the next generation of aircraft Mu...
The EU funded AGILE project is developing the next generation of aircraft Multidisciplinary Design a...
The research and innovation AGILE project developed the next generation of aircraft Multidisciplinar...
As part of H2020 EU project “AGILE”, A Collaborative System of Systems Multidisciplinary Design Opt...
This paper presents methodological investigations performed in research activities in the field of M...
AGILE Project is a 3rd generation Aircraft Design Optimization project involving heterogeneous teams...
The AGILE project has developed the next generation of aircraft Multidisciplinary Design and Optimiz...
This paper presents a critical discussion on the automated problem formulation and workflow creation...
AGILE Project is developing the 3rd generation MDO processes, which will support the development of ...
At University of Naples Federico II (UniNa) the AGILE paradigm has been assumed as guideline to deve...
The ever-increasing complexity of systems under development in aerospace is demanding to streamline ...
This paper presents methodological investigations performed in research activities in the field of M...
A short overview of the paradigm developed in the AGILE H2020 project: collaborative roles, the 5-st...
The research and innovation AGILE project has developed an approach, the so-called AGILE Paradigm, f...
AGILE targets multidisciplinary optimization using distributed analysis frameworks. The involvement ...