Perbandingan Kombinasi Genetic Algorithm – Simulated Annealing dengan Particle Swarm Optimization pada Permasalahan Tata Letak Fasilitas  

Oleh:

Setiawan, Isabella Leo ; Palit, Herry Christian

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI - non-atma jaya
Dalam koleksi: Jurnal Teknik Industri vol. 12 no. 2 (Dec. 2010), page 119-124.
Topik: Genetic Algorithm; Simulated Annealing; Particle Swarm Optimization; Fuzzy Particle Swarm; Facility Layout Problem
Fulltext: 18068-20631-2-PB.pdf (264.33KB)

Isi artikel

This article aims to compare the performance of combination of Genetic AlgorithmSimulated 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.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali