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Replication Data for: eSLP optimization algorithm
, 2023 m-files implementing the eSLP optimization algorithm for the three simulations (3.1. - 3.3.) described in the associated paper. File README.txt contains analytical directions regarding requirements, how to verify the results and videos generated by the ...
Optimization, eSLP
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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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Multidisciplinary design optimization framework for the pre design stage [PDF]
, 2010 Presented is a novel framework for performing flexible computational design studies at preliminary design stage. It incorporates a workflow management device (WMD) and a number of advanced numerical treatments, including multi-objective optimization ...
Balachandran, Libish Kalathil +11 more
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Design Optimization of a Multi-Megawatt Wind Turbine Blade with the NPU-MWA Airfoil Family
Energies, 2019 A new airfoil family, called NPU-MWA (Northwestern Polytechnical University Multi-megawatt Wind-turbine A-series) airfoils, was designed to improve both aerodynamic and structural performance, with the outboard airfoils being designed at high design lift
Jianhua Xu +3 more
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Aerospace, 2022 Helicopter dronization is expanding, for example, the VSR700 project. This leads to the integration of electromechanical actuators (EMAs) into the primary flight control system (PFCS).
Jeremy Roussel +2 more
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Optimal Design of Electrically Fed Hybrid Mars Ascent Vehicle
Aerospace, 2021 The optimal design of the propulsion system for a potential Mars Ascent Vehicle is analyzed, in the context of the Mars Sample Return Mission. The Mars Ascent Vehicle has to perform an initial ascent phase from the surface and then circularize into a 170
Lorenzo Casalino +2 more
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Sanfilippo Syndrome: Optimizing Care with a Multidisciplinary Approach
Journal of Multidisciplinary Healthcare, 2022 Sanfilippo syndrome, or mucopolysaccharidosis type III (MPS III), is a disease grouping five genetic disorders, four of them occurring in humans and one known to date only in a mouse model. In every subtype of MPS III (designed A, B, C, D or E), a lack or drastically decreased activity of an enzyme involved in the degradation of heparan sulfate (HS) (a
Zuzanna Cyske +6 more
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Recent advances in surrogate-based optimization [PDF]
, 2009 The evaluation of aerospace designs is synonymous with the use of long running computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization.
Alexander I.J. Forrester +3 more
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Multidisciplinary Optimization and Analysis of Stratospheric Airships Powered by Solar Arrays
Aerospace, 2023 Stratospheric airships have much potential in military and commercial applications. Design, analysis and optimization of stratospheric airships involves complex trade-off of different disciplines, and hence a multidisciplinary approach is essential. This
Jiwei Tang +5 more
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Topology optimisation: increasing the speed and reliability of design [PDF]
, 2014 In this paper, topology optimisation is applied to the design of the rear fuselage of an unmanned aerial vehicle (UAV). A comparison is drawn between the performance of a design created through evolutionary structural optimisation (ESO) and a baseline ...
Andy Keane +7 more
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