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Performance Analysis of Particle Swarm Optimization and Firefly Algorithms with Benchmark Functions

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Trends in Data Engineering Methods for Intelligent Systems (ICAIAME 2020)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 76))

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Abstract

In recent years swarm mentality algorithms are usually created with nature inspiration to keep their popularity. One of these optimization techniques is particle swarm optimization, and the other one is firefly algorithm. Firefly algorithm process is working with the lower light intensity directed to higher intensities principle. Particle swarm optimization based on the positions of individuals; swarm keeps following the individual who have great position. This article explains with mathematical testing functions of minimum international points, particle swarm optimization and firefly algorithm. Tried to specify that which function is working better with which algorithm. Also, this research tried to recognize that different parameters are changing the result or not.

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Authors and Affiliations

  1. Department of Information Systems Engineering, Muğla Sıtkı Koçman University, Mugla, Turkey

    Mervenur Demirhan & Osman Özkaraca

  2. Department of Computer Engineering, Süleyman Demirel University, Isparta, Turkey

    Ercüment Güvenç

Authors
  1. Mervenur Demirhan
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  2. Osman Özkaraca
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  3. Ercüment Güvenç
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Corresponding author

Correspondence to Osman Özkaraca .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Karunya University, Coimbatore, Tamil Nadu, India

    Jude Hemanth

  2. Department of Computer Engineering, Faculty of Engineering, Süleyman Demirel University, Isparta, Turkey

    Tuncay Yigit

  3. Department of Computer Science, Alexandru Ioan Cuza University, Iasi, Romania

    Bogdan Patrut

  4. Department of Computer Science and Engineering, University of Westminster, London, UK

    Anastassia Angelopoulou

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Demirhan, M., Özkaraca, O., Güvenç, E. (2021). Performance Analysis of Particle Swarm Optimization and Firefly Algorithms with Benchmark Functions. In: Hemanth, J., Yigit, T., Patrut, B., Angelopoulou, A. (eds) Trends in Data Engineering Methods for Intelligent Systems. ICAIAME 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-79357-9_60

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