Modified FATA Morgana Algorithm Based on Levy Flight

Aditya Prapanca; Nasreddine Belhaouas; Imed Mahmoud

doi:10.26740/vubeta.v2i1.37066

Authors

Aditya Prapanca Department of Informatics Engineering, Faculty of Engineering, Universitas Negeri Surabaya, Surabaya
Nasreddine Belhaouas Centre de Développement des Energies Renouvelables, CDER,B.P. 62, Route de l’observatoire, Bouzaréah, 16340, Alger, Algérie
Imed Mahmoud Department of Electrical Engineering, Higher Institute of Applied Sciences and Technology of Mahdia, University of Monastir, Tunisia

DOI:

https://doi.org/10.26740/vubeta.v2i1.37066

Keywords:

FATA morgana algorithm, Metaheuristic, Levy Flight, Novel Algorithm, Artificial Algorithm

Abstract

Metaheuristics is an algorithmic approach used to solve complex optimization problems that are difficult to solve with conventional methods. The wide application of metaheuristics shows the flexibility and effectiveness of this method in solving various optimization problems in various fields. With the continuous development of technology and the need for more efficient solutions, the use of metaheuristics is expected to increase in the future. A novel group intelligence technique, called the modified mirage algorithm (FATA), is introduced to tackle continuous multi-type optimization problems. FATA formulates the mirage light filtering principle (MLF) and light propagation strategy (LPS) by replicating the mechanism of mirage formation. The MLF approach, together with the final integration concept, improves the algorithmic population's exploration capacity within FATA.This study presents the application of the levy flight method to the fata morgana algorithm. Validation in this study between the proposed method and the original fata morgana algorithm. From the simulation results, it is found that the proposed method has better performance on unimodal and multimodal functions.

Author Biographies

Aditya Prapanca, Department of Informatics Engineering, Faculty of Engineering, Universitas Negeri Surabaya, Surabaya

He is received his Bachelor of Engineering from Sepuluh Nopember Institute of Technology (ITS), Surabaya, Indonesia, in 2000, and his Master of Computer from Sepuluh Nopember Institute of Technology (ITS), Indonesia, in 2007. He is currently a lecturer at the Department of Computer Engineering, Universitas Negeri Surabaya, Indonesia. His research interests include artificial intelligence. He can be contacted at email: adityaprapanca@unesa.ac.id

Nasreddine Belhaouas, Centre de Développement des Energies Renouvelables, CDER,B.P. 62, Route de l’observatoire, Bouzaréah, 16340, Alger, Algérie

He is received his engineering degree in electronic engineering from the National Polytechnic School, Algiers, Algeria, in 2007. He obtained a Magister degree (equivalent to MSc) in electronics/photovoltaic energy in 2010 and a Doctorate of Science (equivalent to PhD) in electronics in 2017. He is currently a senior researcher, team leader, and project manager at the Renewable Energy Center (CDER), Algiers, Algeria. His main research interests include photovoltaic (PV) energy, PV system performance, PV module degradation, IEC 61215, partial shading effects, MPPT techniques, and PV array reconfiguration.

Imed Mahmoud, Department of Electrical Engineering, Higher Institute of Applied Sciences and Technology of Mahdia, University of Monastir, Tunisia

He was born in Mahdia, Tunisia in 1982. He received M.Sc. degree of Electrical Engineering option Electrical engineering and Power Electronics from High School of Sciences and Technology of Tunis, University of Tunis (ESSTT), Tunisia, in 2006, Master degree, and Ph.D from ESSTT, Tunisia in 2008 and 2015 respectively. From 2008 to 2015, he had been an assistant in the Electronic Engineering Department of ISSAT, Mateur, Bizerte, Tunisia. He has been promoted to the assistant professor grade in the same department since June 2016. From September 2016, he has been an assistant professor in the Electrical Engineering Department of ISSAT, Mahdia, Tunisia. His main research interests cover several aspects related to control of the Static Converters, the Electric Machines Drives in biomedical and Renewable energy applications. I published in this field several indexed papers.

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Modified FATA Morgana Algorithm Based on Levy Flight

Authors

DOI:

Keywords:

Abstract

Author Biographies

Aditya Prapanca, Department of Informatics Engineering, Faculty of Engineering, Universitas Negeri Surabaya, Surabaya

Nasreddine Belhaouas, Centre de Développement des Energies Renouvelables, CDER,B.P. 62, Route de l’observatoire, Bouzaréah, 16340, Alger, Algérie

Imed Mahmoud, Department of Electrical Engineering, Higher Institute of Applied Sciences and Technology of Mahdia, University of Monastir, Tunisia

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