Isabella Leo Setiawan
Fakultas Teknologi Industri, Jurusan Teknik Industri, Universitas Kristen Petra

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Perbandingan Kombinasi Genetic Algorithm – Simulated Annealing dengan Particle Swarm Optimization pada Permasalahan Tata Letak Fasilitas Isabella Leo Setiawan; Herry Christian Palit
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 12 No. 2 (2010): DECEMBER 2010
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.677 KB) | DOI: 10.9744/jti.12.2.119-124

Abstract

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