Firefly algorithms for multimodal optimization

  • Authors:

  • Xin-She Yang

  • Affiliations:

  • Department of Engineering, University of Cambridge, Cambridge, UK

  • Venue:
  • SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
  • Year:
  • 2009

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Abstract

Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications. We will compare the proposed firefly algorithm with other metaheuristic algorithms such as particle swarm optimization (PSO). Simulations and results indicate that the proposed firefly algorithm is superior to existing metaheuristic algorithms. Finally we will discuss its applications and implications for further research.