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Firefly Algorithm, Lévy Flights and Global Optimization

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Research and Development in Intelligent Systems XXVI

Abstract

Nature-inspired algorithms such as Particle Swarm Optimization and Firefly Algorithm are among the most powerful algorithms for optimization. In this paper, we intend to formulate a new metaheuristic algorithm by combining Lévy flights with the search strategy via the Firefly Algorithm. Numerical studies and results suggest that the proposed Lévy-flight firefly algorithm is superior to existing metaheuristic algorithms. Finally implications for further research and wider applications will be discussed.

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Correspondence to Xin-She Yang .

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© 2010 Springer-Verlag London

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Yang, XS. (2010). Firefly Algorithm, Lévy Flights and Global Optimization. In: Bramer, M., Ellis, R., Petridis, M. (eds) Research and Development in Intelligent Systems XXVI. Springer, London. https://doi.org/10.1007/978-1-84882-983-1_15

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  • DOI: https://doi.org/10.1007/978-1-84882-983-1_15

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-982-4

  • Online ISBN: 978-1-84882-983-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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