Perbandingan Kombinasi Genetic Algorithm – Simulated Annealing dengan Particle Swarm Optimization pada Permasalahan Tata Letak Fasilitas
| Main Authors: | Setiawan, Isabella Leo; Fakultas Teknologi Industri, Jurusan Teknik Industri, Universitas Kristen Petra, Palit, Herry Christian; Fakultas Teknologi Industri, Jurusan Teknik Industri, Universitas Kristen Petra |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Institute of Research and Community Outreach - Petra Christian University
, 2010
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| Subjects: | |
| Online Access: |
http://jurnalindustri.petra.ac.id/index.php/ind/article/view/18068 http://jurnalindustri.petra.ac.id/index.php/ind/article/view/18068/17975 |
Daftar Isi:
- This article aims to compare the performance of combination of Genetic Algorithm-Simulated Annealing (GA-SA) with Particle Swarm Optimization (PSO) to solve facility layout problem. GA-SA in this article consist of two algorithms, GA-SA I and GA-SA II, with a different mutation rule. PSO uses fuzzy particle swarm concept to represent solution from each particle. Two criteria to analyze all algorithms performance are moment of movement and computational time. Experiments show that GA-SA II has the best performance in minimization both criteria