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All Journal International Journal of Evaluation and Research in Education (IJERE) ComEngApp : Computer Engineering and Applications Journal Jurnal Ilmu Komputer dan Informasi Computer Engineering and Applications Journal (ComEngApp) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JUITA : Jurnal Informatika Proceeding of the Electrical Engineering Computer Science and Informatics Computer Engineering and Applications Journal (ComEngApp) Jurnal Informatika Upgris Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ilmiah Matrik Indonesian Journal of Information System JITK (Jurnal Ilmu Pengetahuan dan Komputer) JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Martabe : Jurnal Pengabdian Kepada Masyarakat Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Informatika Global Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Abdimas Mandiri Indonesian Journal of Electrical Engineering and Computer Science Reswara: Jurnal Pengabdian Kepada Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Indonesian Community Journal International Journal of Advanced Science Computing and Engineering JEECS (Journal of Electrical Engineering and Computer Sciences) AnoaTIK: Jurnal Teknologi Informasi dan Komputer Jurnal INFOTEL Journal of Computer Science Application and Engineering
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Journal : Jurnal Informatika Upgris

A Brief Comparison of Particle Swarm Optimization Algorithm and Firefly Algorithm Ahmad Sanmorino
Jurnal Informatika Upgris Vol 4, No 1: Juni (2018)
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v%vi%i.2218

Abstract

In this article, we try to present some optimization algorithms that are often used by researchers. Through the information contained in this article, the reader can know and understand the development and mechanism of optimization algorithms. The algorithms presented in this article include particle swarm optimization algorithm and firefly algorithm. We chose the swarm particles optimization algorithm and the firefly algorithm to discuss because both of these algorithms are widely used for various optimization problems. Both algorithms, particle optimization algorithms as well as the newer firefly algorithms, are well known today among researchers Furthermore, after knowing the mechanism and the difference of each optimization algorithm, it is expected the reader can choose the algorithm to be used as needed.