Jurnal Teknik Industri
Vol. 12 No. 2 (2010): DECEMBER 2010

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

Isabella Leo Setiawan (Fakultas Teknologi Industri, Jurusan Teknik Industri, Universitas Kristen Petra)
Herry Christian Palit (Fakultas Teknologi Industri, Jurusan Teknik Industri, Universitas Kristen Petra)

Article Info

Publish Date
06 Dec 2010

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

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Journal Info
Jurnal Teknik Industri
Website

Abbrev

ind

Publisher

Universitas Kristen Petra Surabaya

Subject

Industrial & Manufacturing Engineering

Description

Jurnal Teknik Industri aims to: Promote a comprehensive approach to the application of industrial engineering in industries as well as incorporating viewpoints of different disciplines in industrial engineering. Strengthen academic exchange with other institutions. Encourage scientist, practicing ...