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Saad Chahba, Guillaume Krebs, Cristina Morel, Rabia Sehab and Ahmad Akrad
The electric urban air mobility sector has gained significant attraction in public debates, particularly with the proliferation of announcements demonstrating new aerial vehicles and the infrastructure that goes with them. In this context, the developmen...
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Moisés Brito, Francisco Bernardo, Maria G. Neves, Diogo R. C. B. Neves, Alejandro J. C. Crespo and José M. Domínguez
A 2D numerical investigation of the power absorption of a constrained wave energy hyperbaric converter (WEHC) under full-scale sea wave conditions is presented. A fully non-linear numerical model DualSPHysics, based on the coupling of a smoothed particle...
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Emmanuel Tuyishimire, Antoine Bagula, Slim Rekhis and Noureddine Boudriga
The use of Unmanned Aerial Vehicles (UAVs) in data transport has attracted a lot of attention and applications, as a modern traffic engineering technique used in data sensing, transport, and delivery to where infrastructure is available for its interpret...
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Massimo Sferza, Jelena Ninic, Dimitrios Chronopoulos, Florian Glock and Fernass Daoud
The design optimisation of aerostructures is largely based on Multidisciplinary Design Optimisation (MDO), which is a set of tools used by the aircraft industry to size primary structures: wings, large portions of the fuselage or even an entire aircraft....
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Dhananjay Thiruvady, Christian Blum and Andreas T. Ernst
Matheuristics have been gaining in popularity for solving combinatorial optimisation problems in recent years. This new class of hybrid method combines elements of both mathematical programming for intensification and metaheuristic searches for diversifi...
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Dhananjay Thiruvady, Asef Nazari and Aldeida Aleti
Automated deployment of software components into hardware resources is a highly constrained optimisation problem. Hardware memory limits which components can be deployed into the particular hardware unit. Interacting software components have to be deploy...
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Miguel del Alamo, Housen Li, Axel Munk and Frank Werner
Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametric r...
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Andrea Magrini, Ernesto Benini, Rita Ponza, Chen Wang, Hamed Haddad Khodaparast, Michael I. Friswell, Volker Landersheim, Dominik Laveuve and Conchin Contell Asins
In the context of ambitious targets for reducing environmental impact in the aviation sector, dictated by international institutions, morphing aircraft are expected to have potential for achieving the required efficiency increases. However, there are sti...
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Ioannis E. Livieris
In this work, a new approach for training artificial neural networks is presented which utilises techniques for solving the constraint optimisation problem. More specifically, this study converts the training of a neural network into a constraint optimis...
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Masiala Mavungu,Evan Hurwitz,Tshilidzi Marwala
AbstractOrientation: This article is related to Financial Risk Management, Investment Management and Portfolio Optimisation.Research purpose: The aim is to compute optimal investment allocations from one period to another.Motivation of the study: Financi...
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