Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ioannis Giagkiozis"'
Autor:
Ioannis Giagkiozis, Emilio Said
Publikováno v:
Ledger, Vol 9 (2024)
Perpetual swaps are derivative contracts that allow traders to speculate on, or hedge, the price movements of cryptocurrencies. Unlike futures contracts, perpetual swaps have no settlement or expiration in the traditional sense. The funding rate acts
Externí odkaz:
https://doaj.org/article/6a6e77bf38984539a59ba52df3ca7af2
Autor:
João A. Duro, Stefanos Giagkiozis, Ioannis Giagkiozis, Robert J. Lygoe, Yiming Yan, Ambuj Kumar Sriwastava, Peter J. Fleming, Claire Freeman, Robin C. Purshouse, Daniel C. Oara, Shaul Salomon, Jacqui Morison
Publikováno v:
Applied Soft Computing. 98:106851
Real-world optimization problems involving multiple conflicting objectives are commonly best solved using multi-objective optimization as this provides decision-makers with a family of trade-off solutions. However, the complexity of using multi-objec
Publikováno v:
Giagkiozis, I, Fedun, V, Scullion, E, Jess, D B & Verth, G 2018, ' Vortex Flows in the Solar Atmosphere: Automated Identification and Statistical Analysis ', The Astrophysical Journal, vol. 869, 169 . https://doi.org/10.3847/1538-4357/aaf797
Vortices on the photosphere are fundamentally important as these coherent flows have the potential to form coherent magnetic field structures in the solar atmosphere, e.g. twisted magnetic flux tubes. These flows have traditionally been identified by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43c3f09ecaff5c172e2587a0b730fe14
https://nrl.northumbria.ac.uk/id/eprint/37201/8/Giagkiozis_2018_ApJ_869_169.pdf
https://nrl.northumbria.ac.uk/id/eprint/37201/8/Giagkiozis_2018_ApJ_869_169.pdf
Publikováno v:
Annales Geophysicae, Vol 29, Pp 805-811 (2011)
Single spacecraft measurements from the Cluster 3 satellite are used to identify nonlinear processes in ion-sound turbulence observed within the front of the quasiperpendicular terrestrial bow shock. Ion sound waves possess spatial scales that are to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97a4ded215006b128fb1936e6af76957
https://www.ann-geophys.net/29/805/2011/
https://www.ann-geophys.net/29/805/2011/
Publikováno v:
European Journal of Operational Research. 243:442-453
Various preference-based multi-objective evolutionary algorithms have been developed to help a decision-maker search for his/her preferred solutions to multi-objective problems. In most of the existing approaches the decision-maker preferences are fo
Autor:
Ioannis Giagkiozis, Peter J. Fleming
Publikováno v:
Information Sciences. 293:338-350
Decomposition-based methods are often cited as the solution to multi-objective nonconvex optimization problems with an increased number of objectives. These methods employ a scalarizing function to reduce the multi-objective problem into a set of sin
Autor:
Ioannis Giagkiozis, Peter J. Fleming
Publikováno v:
Evolutionary Computation. 22:651-678
The set of available multi-objective optimisation algorithms continues to grow. This fact can be partially attributed to their widespread use and applicability. However, this increase also suggests several issues remain to be addressed satisfactorily
Publikováno v:
Information Sciences. 282:363-387
Decomposition-based algorithms for multi-objective optimization problems have increased in popularity in the past decade. Although convergence to the Pareto optimal front (PF) for such algorithms can often be superior to that of Pareto-based alternat
Autor:
Ioannis Giagkiozis, Derek S. Wall, Peter J. Fleming, Robin C. Purshouse, Andrew R. Mills, Maszatul M. Mansor
Publikováno v:
IFAC Proceedings Volumes. 47:2634-2639
Power resources on board autonomous systems are limited but power requirements on these systems are increasing due to rapid technology growth. Today's methods for controlling these resources either use expensive and conservative strategies (e.g. reac
Publikováno v:
International Journal of Systems Science. 46:1572-1599
In this work we present an overview of the most prominent population-based algorithms and the methodologies used to extend them to multiple objective problems. Although not exact in the mathematical sense, it has long been recognised that population-