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Multiobjective Lévy-Flight Firefly Algorithm for Multiobjective Optimization

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Intelligent Computing and Optimization (ICO 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1324))

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Abstract

The firefly algorithm (FA) was firstly proposed during 2008–2009 as one of the powerful population-based metaheuristic optimization techniques for solving continuous and combinatorial optimization problems. The FA has been proved and applied to various real-world problems in mostly single objective optimization manner. However, many real-world problems are typically formulated as the multiobjective optimization problems with complex constraints. In this paper, the multiobjective Lévy-flight firefly algorithm (mLFFA) is developed for multiobjective optimization. The proposed mLFFA is validated against four standard multiobjective test functions to perform its effectiveness. The simulation results show that the proposed mLFFA algorithm is more efficient than the well-known algorithms from literature reviews including the vector evaluated genetic algorithm (VEGA), non-dominated sorting genetic algorithm II (NSGA-II), differential evolution for multiobjective optimization (DEMO) and multiobjective multipath adaptive tabu search (mMATS).

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Authors and Affiliations

  1. Department of Electrical Engineering, Faculty of Engineering, Southeast Asia University, 19/1 Petchkasem Road, Nongkhangphlu, Nonghkaem, Bangkok, 10160, Thailand

    Somchai Sumpunsri, Chaiyo Thammarat & Deacha Puangdownreong

Authors
  1. Somchai Sumpunsri
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  2. Chaiyo Thammarat
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  3. Deacha Puangdownreong
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Corresponding author

Correspondence to Deacha Puangdownreong .

Editor information

Editors and Affiliations

  1. Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, Tronoh, Perak, Malaysia

    Pandian Vasant

  2. Faculty of Electrical Engineering and Computer Science, VŠB TU Ostrava, Ostrava, Czech Republic

    Ivan Zelinka

  3. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

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Sumpunsri, S., Thammarat, C., Puangdownreong, D. (2021). Multiobjective Lévy-Flight Firefly Algorithm for Multiobjective Optimization. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing, vol 1324. Springer, Cham. https://doi.org/10.1007/978-3-030-68154-8_15

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