Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Terence Weir"'
Autor:
Kyle Robert Harrison, Saber Elsayed, Ivan L. Garanovich, Terence Weir, Michael Galister, Sharon Boswell, Richard Taylor, Ruhul Sarker
Publikováno v:
IEEE Access, Vol 9, Pp 83410-83430 (2021)
Future Force Design (FFD) is a strategic planning activity that decides the programming of defence capability options. This is a complex problem faced by the Australian Department of Defence (DoD) and requires the simultaneous selection and schedulin
Externí odkaz:
https://doaj.org/article/a71f14dc34824f639f722b4b0b88bf37
Autor:
Kyle Robert Harrison, Saber M. Elsayed, Ivan L. Garanovich, Terence Weir, Sharon G. Boswell, Ruhul A. Sarker
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108208- (2022)
The article presents two variants of the project portfolio selection and scheduling problem (PPSSP). The primary objective of the PPSSP is to maximise the total portfolio value through the selection and scheduling of a subset of projects subject to v
Externí odkaz:
https://doaj.org/article/7c582fec7ab74b1f917f16b7ce4846d5
Autor:
Kyle Robert Harrison, Saber Elsayed, Ivan Garanovich, Terence Weir, Michael Galister, Sharon Boswell, Richard Taylor, Ruhul Sarker
Publikováno v:
IEEE Access, Vol 8, Pp 60152-60178 (2020)
The problem of designing an effective future defense force is quite complex and challenging. One methodology that is often employed in this domain is portfolio optimization, whereby the objective is to select a diverse set of assets that maximize the
Externí odkaz:
https://doaj.org/article/6278bff810c64d9bb5dd0752dcc025b0
Autor:
Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Sharon G. Boswell, Ruhul A. Sarker
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eccb77c3f95b4e041d2966f7dfbb19bf
https://doi.org/10.1109/ssci51031.2022.10022287
https://doi.org/10.1109/ssci51031.2022.10022287
Autor:
Sharon G. Boswell, Terence Weir, Ivan L. Garanovich, Richard Taylor, Ruhul A. Sarker, Kyle Robert Harrison, Michael Galister, Saber M. Elsayed
Publikováno v:
IEEE Access, Vol 9, Pp 83410-83430 (2021)
Future Force Design (FFD) is a strategic planning activity that decides the programming of defence capability options. This is a complex problem faced by the Australian Department of Defence (DoD) and requires the simultaneous selection and schedulin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23ce407cf3e250296f59dbd670a969fb
https://doi.org/10.1109/access.2021.3086070
https://doi.org/10.1109/access.2021.3086070
Autor:
Saber M. Elsayed, Terence Weir, Richard R. Taylor, Ruhul A. Sarker, Sharon G. Boswell, Ivan L. Garanovich, Michael Galister, Kyle Robert Harrison
Publikováno v:
IEEE Access, Vol 8, Pp 60152-60178 (2020)
The problem of designing an effective future defense force is quite complex and challenging. One methodology that is often employed in this domain is portfolio optimization, whereby the objective is to select a diverse set of assets that maximize the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::792c4dd0cf3fe5d401a5ec0821844386
https://ieeexplore.ieee.org/document/9046777/
https://ieeexplore.ieee.org/document/9046777/
Autor:
Ruhul A. Sarker, Kyle Robert Harrison, Saber M. Elsayed, Sharon G. Boswell, Ivan L. Garanovich, Terence Weir
Publikováno v:
Adaptation, Learning, and Optimization ISBN: 9783030883140
Adaptation, Learning, and Optimization
Adaptation, Learning, and Optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::977b30d1b77c267538c66d41da992717
https://doi.org/10.1007/978-3-030-88315-7_5
https://doi.org/10.1007/978-3-030-88315-7_5
Autor:
Saber M. Elsayed, Kyle Robert Harrison, Ruhul A. Sarker, Terence Weir, Sharon G. Boswell, Ivan L. Garanovich
Publikováno v:
Adaptation, Learning, and Optimization ISBN: 9783030883140
Adaptation, Learning, and Optimization
Adaptation, Learning, and Optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d06c30ab93653c68dc02541f8eb047a
https://doi.org/10.1007/978-3-030-88315-7_1
https://doi.org/10.1007/978-3-030-88315-7_1
Publikováno v:
Adaptation, Learning, and Optimization ISBN: 9783030883140
In this chapter we describe the origins and mathematics used in the development of the New Investments to Risked Options (NITRO) portfolio selection tool. This tool was used by the Australian Department of Defence in 2019 for a major review of Austra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3852d0e5b850fb2e95a7de71a283f5f
https://doi.org/10.1007/978-3-030-88315-7_7
https://doi.org/10.1007/978-3-030-88315-7_7
Autor:
Saber M. Elsayed, Ruhul A. Sarker, Kyle Robert Harrison, Terence Weir, Sharon G. Boswell, Ivan L. Garanovich
Publikováno v:
GECCO Companion
This paper proposes a novel formulation of the project portfolio selection and scheduling problem inspired by the Future Defense Force Design process in the context of the Australian Defence Force capability development. The core objective of the pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5c325ab5b9f6e8346bef058c8f26170
https://doi.org/10.1145/3449726.3463126
https://doi.org/10.1145/3449726.3463126