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.

Creator(s)

• (02-031) Herri Christian Palit
• ISABELLA LEO SETIAWAN

Contributor(s)

-

Publisher

Universitas Kristen Petra; 2010

Language

Indonesian

Category

jou – Journal

Sub Category

-

Source

Jurnal Teknik Industri, Vol. 12, No. 2, Desember 2010, 119-124; Isabella Leo Setiawan (NA00404068), Herry Christian Palit (02-031)

Subject(s)

• PLANT LAYOUT

File(s)

• jiunkpe-ns-jou-2010-na00404068-18849-tata_letak-resource1.pdf