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In this paper, we studied, optimized, and compared two algorithms: Dragonfly Algorithm (DA) and the Firefly Algorithm (FA). The Dragonfly Algorithm is an optimization method based on the swarming behavior of dragonflies, mimicking behaviors such as hunting, fleeing, and swarming to explore a search space. The Firefly Algorithm, on the other hand, is based on the flashing behavior of fireflies, which use bioluminescence to communicate and attract mates. We applied Type-1 and Type-2 Fuzzy Logic to both algorithms. For the Dragonfly Algorithm, we optimized the W and Beta parameters. For the Firefly Algorithm, the Beta parameter was optimized. We conducted experiments and compared the results using mathematical functions F1 to F10.

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Comparative Study of Dragonfly and Firefly Algorithms with Type-1 and Type-2 Fuzzy Parameter Adaptation

  • 会议论文

  • 发表日期：

    2025年

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  • Hector M. Guajardo,
  • Fevrier Valdez,
  • Patricia Melin,
  • Oscar Castillo,
  • Prometeo Cortes-Antonio

摘要

In this paper, we studied, optimized, and compared two algorithms: Dragonfly Algorithm (DA) and the Firefly Algorithm (FA). The Dragonfly Algorithm is an optimization method based on the swarming behavior of dragonflies, mimicking behaviors such as hunting, fleeing, and swarming to explore a search space. The Firefly Algorithm, on the other hand, is based on the flashing behavior of fireflies, which use bioluminescence to communicate and attract mates. We applied Type-1 and Type-2 Fuzzy Logic to both algorithms. For the Dragonfly Algorithm, we optimized the W and Beta parameters. For the Firefly Algorithm, the Beta parameter was optimized. We conducted experiments and compared the results using mathematical functions F1 to F10.