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Multidisciplinary Optimization Formulation for the Optimization of Multirate Systems [PDF]
IEEE Transactions on Magnetics, 2016 Multidisciplinary optimization strategies are widely used in the static case and can be extended to a problem with a time-domain model in order to reduce optimization time. The waveform relaxation method is a fixed-point approach applied to waveforms, which allows the coupling of dynamic models. Using the individual discipline feasibility strategy, the
Pierquin, Antoine +2 more
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Global Optimization Algorithms in Multidisciplinary Design Optimization [PDF]
12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2008 While Multidisciplinay Design Optimization (MDO) literature focuses mainly on the development of different formulations, through the manipulation of design variables, less attention is generally devoted to the combination of specific MDO formulations with existing nonlinear optimization algorithms.
PERI D. +3 more
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Riemannian optimization and multidisciplinary design optimization [PDF]
Optimization and Engineering, 2016 Riemannian Optimization (RO) generalizes standard optimization methods from Euclidean spaces to Riemannian manifolds. Multidisciplinary Design Optimization (MDO) problems exist on Riemannian manifolds, and with the differential geometry framework which we have previously developed, we can now apply RO techniques to MDO.
Bakker, Craig, Parks, Geoffrey T
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Multidisciplinary Design Optimization of UAV Airframes [PDF]
47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference<BR> 14th AIAA/ASME/AHS Adaptive Structures Conference<BR> 7th, 2006 If one considers the problem of converting an aircraft mission profile into an airframe design from an optimization theory perspective, it becomes obvious that the search problem comes with all the trimmings. The design space is large and multidimensional, there are multiple and often highly multimodal objectives and constraints, these depending not ...
Sobester, A., Keane, A.J.
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Multidisciplinary Optimization in Decentralized Reinforcement Learning [PDF]
2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017 Multidisciplinary Optimization (MDO) is one of the most popular techniques in aerospace engineering, where the system is complex and includes the knowledge from multiple fields. However, according to the best of our knowledge, MDO has not been widely applied in decentralized reinforcement learning (RL) due to the ‘unknown’ nature of the RL problems. In
Thanh Nguyen 0005, Snehasis Mukhopadhyay
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Interaction Prediction Optimization in Multidisciplinary Design Optimization Problems [PDF]
The Scientific World Journal, 2014 The distributed strategy of Collaborative Optimization (CO) is suitable for large-scale engineering systems. However, it is hard for CO to converge when there is a high level coupled dimension. Furthermore, the discipline objectives cannot be considered in each discipline optimization problem.
Debiao Meng +4 more
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TOWARDS MULTIDISCIPLINARY ADJOINT OPTIMIZATION OF TURBOMACHINERY COMPONENTS [PDF]
Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), 2016 The current state-of-the-art adjoint design optimizations for turbomachinery components focus solely on aerodynamic cost functions and constraints, yet disregard structural feasibility during the optimization procedure. This paper presents the first steps taken towards including structural constraints in a multidisiplinary adjoint optimization design ...
Schwalbach, Marc, Verstraete, Tom
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CURRICULUM OPTIMIZATION ON THE BASIS OF A MULTIDISCIPLINARY APPROACH
International scientific journal "Internauka", 2017 The aim of the study is to find ways of specialty curriculum optimization on the basis of a multidisciplinary approach. The state of the art is characterized by the lack of well-defined criteria for the synergistic integration of disciplines within the specialty curriculum, which necessitated the solution of the following issues: in relation to which ...
Sergeyeva, Tetyana +2 more
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Multidisciplinary Optimization of Aerocapture Maneuvers [PDF]
Journal of Artificial Evolution and Applications, 2008 A multidisciplinary‐multiobjective optimization of aerocapture maneuvers is presented. The proposed approach allows a detailed analysis of the coupling among vehicle′s shape, trajectory control, and thermal protection system design. A set of simplified models are developed to address this analysis and a multiobjective particle swarm optimizer is ...
ARMELLIN, ROBERTO, LAVAGNA, MICHÈLE
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Medulloblastoma: optimizing care with a multidisciplinary approach.
Journal of multidisciplinary healthcare, 2019 Medulloblastoma is a malignant tumor of the cerebellum and the most frequent malignant brain tumor in children. The standard of care consists of maximal resection surgery, followed by craniospinal irradiation and chemotherapy. Such treatment allows long-term survival rates of nearly 70%; however, there are wide disparities among patient outcomes, and ...
Thomas,Alice, Noël,Georges
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