Artikel Jurnal :: Kembali

Artikel Jurnal :: Kembali

A modified immunoglobulin-based artificial immune system algorithm for solving the permutation flow shop scheduling problem / Xufei Liu, Tsui-Ping Chung

Liu, Xufei; Tsui-ping Chung (Taylor and Francis, 2017)

 Abstrak

ABSTRAK
To minimize makespan in the permutation flow shop scheduling problem, a modified immunogulobulin-based artificial immune system algorithm (M-IAIS) is developed to search for a job sequence. The basic structure of immunoglobulin-based artificial immune system algorithm consists of three parts, somatic recombination, hypermutation, and isotype switching. A special process, named B cell repertoire updating, is considered in M-IAIS algorithm to accelerate the deviation, hypothesis test, convergence speed. Taillard's benchmark problems are chosen as test instances. Percentage paper to evaluate the performance of M-IAIS algorithm. Computational result show that M-IAIS algorithm is competitive for the permutation flow shop scheduling problem.

 Metadata

Jenis Koleksi : Artikel Jurnal
No. Panggil : 658 JIPE
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Oxon: Taylor and Francis, 2017
Sumber Pengatalogan : LibUI eng rda
ISSN : 21681015
Majalah/Jurnal : Journal of Industrial and Production Engineering
Volume : Vol. 34, No. 7, Oktober 2017: Hal. 542 - 550
Tipe Konten : text
Tipe Media : unmediated
Tipe Carrier : volume
Akses Elektronik :
Institusi Pemilik : Universitas Indonesia
Lokasi : Perpustakaan UI, Lantai 4, R. Koleksi Jurnal
  • Ketersediaan
  • Ulasan
  • Sampul
No. Panggil No. Barkod Ketersediaan
658 JIPE 03-18-573149891 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 20470388
Cover