Design of near-optimal irregular fractional plans satisfying multi-optimality criteria / Prasun Das
Prasun Das;
(Taylor and Francis, 2018)
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In an industrial set-up, conditions of orthogonality and optimality of a statistical experimental design often get violated. This paper attempts to find an optimal design which performs uniformly better with respect to multi-design-optimality criteria. Initially, using non-dominatedsorting genetic algorithm (NSGA-II) with single D-optimality criterion, a near-optimal design is searched for linear, interaction, quadratic, pure quadratic, and some pre-specified models. The solutions obtained are verified with the existing upper bounds. In the second phase, Pareto-optimal solutions are obtained with multi-design-optimality criteria. The method of comparison is illustrated with an example along with its demerits in terms of design efficiency. |
No. Panggil : | 658 JIPE 35:1 (2018) |
Entri utama-Nama orang : | |
Subjek : | |
Penerbitan : | [Place of publication not identified]: Taylor and Francis, 2018 |
Sumber Pengatalogan : | LibUI eng rda |
ISSN : | 21681015 |
Majalah/Jurnal : | JIPE |
Volume : | Vol. 35, No. 1 January 2018: Hal. 41-47 |
Tipe Konten : | text |
Tipe Media : | unmediated |
Tipe Carrier : | volume |
Akses Elektronik : | |
Institusi Pemilik : | Universitas Indonesia |
Lokasi : | Perpustakaan UI, Lantai 4, R. Koleksi Jurnal |
No. Panggil | No. Barkod | Ketersediaan |
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658 JIPE 35:1 (2018) | TERSEDIA |
Ulasan: |
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