Job Shop Scheduling Problem Dengan ARtificial Immune System
| Main Authors: | Satyagraha, Ericko; FTI Untar, Hiryanto, Lely; FTI Untar, Gan, Gunadi; FTI Untar |
|---|---|
| Format: | Article eJournal |
| Bahasa: | ind |
| Terbitan: |
Fakultas Teknologi Informasi Universitas Tarumanagara
, 2013
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| Online Access: |
http://fti.tarumanagara.ac.id/jurnal/index.php/JIKSI/article/view/164 |
Daftar Isi:
- ABSTRACT The designed system is a job shop scheduling system using Artificial Immune System (AIS). This system will process each n jobs and every m machines in order to obtain a production schedule that has the smallest total processing time of production (makespans). Tests on the form that is already functioning as expected and where the influence of the size and number of iterations antibody discovery impact the best schedule.