Implementasi Penjadwalan Flow Shop dengan Algoritma Genetik  

Oleh:

Santoso, Albertus Joko ; Limyana ; Ernawati

Jenis: Article from Journal - ilmiah nasional
Dalam koleksi: Jurnal Teknologi Industri vol. 7 no. 1 (Jan. 2003), page 31-40.
Topik: Genetic Algorithm; Scheduling; Flow Shop

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ83.4 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This paper describes flow shop scheduling implementation with Genetic algorithm method. Scheduling process with Genetic Algorithm cover how to construct jobs becomes chromosomes (jobs order). Chromosomes are constructed from genes (jobs list). Then these genes will to go through crossover process to exchange genes from one chromosome to others, selection process and mutation process which bring Iwo jobs to one job list. With Genetic Algorithm, we will take more efficient total process time (makespan).

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