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

Authors

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

:

https://doi.org/10.9744/jti.12.2.119-124

Keywords:

Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization, fuzzy particle swarm, facility layout problem

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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Published

2010-12-06

How to Cite

[1]
I. L. Setiawan and H. C. Palit, “Perbandingan Kombinasi Genetic Algorithm – Simulated Annealing dengan Particle Swarm Optimization pada Permasalahan Tata Letak Fasilitas”, Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 12, no. 2, pp. 119-124, Dec. 2010.

Issue

Vol. 12 No. 2 (2010): DECEMBER 2010

Section

Articles

License

Articles published in the Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY).


This work is licensed under a  Creative Commons Attribution License (CC BY).