2015Unpublished venueRequires access

Analysis of the dynamic characteristics of firefly algorithm

Takuya Shindo, Jianze Xiao, Takuya Kurihara, Kazuya Morita, Kenya Jin’no

Open publisher page 5 citations

Abstract

Firefly algorithm is one of meta-heuristic algorithms. The fundamental principle of the firefly algorithm is based on the mimic of the characteristic of the blinking of natural fireflies. In this paper, we analyze the dynamics of the firefly algorithm. In order to analyze the dynamics rigorously, we apply a deterministic system that is removed the stochastic factors from the state update equation. The behavior of the individual deterministic firefly exhibits a chaotic behavior depending on the parameters. Therefore, we investigate relationship between the behavior of the firefly and the parameters. Also, we investigate the effect that the chaotic behavior influences the searching ability.

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What this paper is about

Firefly algorithm is one of meta-heuristic algorithms. The fundamental principle of the firefly algorithm is based on the mimic of the characteristic of the blinking of natural fireflies. In this paper, we analyze the dynamics of the firefly algorithm. In order to analyze the dynamics rigorously, we apply a deterministic system that is removed the stochastic factors from the state update equation. The behavior of the individual deterministic firefly exhibits a chaotic behavior depending on the parameters. Therefore, we investigate relationship between the behavior of the firefly and the parameters. Also, we investigate the effect that the chaotic behavior influences the searching ability.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Firefly algorithm is one of meta-heuristic algorithms. The fundamental principle of the firefly algorithm is based on the mimic of the characteristic of the blinking of natural fireflies. In this paper, we analyze the dynamics of the firefly algorithm. In order to analyze the dynamics rigorously, we apply a deterministic system that is removed the stochastic factors from the state update equation. The behavior of the individual deterministic firefly exhibits a chaotic behavior depending on the parameters. Therefore, we investigate relationship between the behavior of the firefly and the parameters. Also, we investigate the effect that the chaotic behavior influences the searching ability.

Key concepts: Firefly algorithm, Firefly protocol, Chaotic, Heuristic, Computer science, Meta heuristic, Algorithm, Mathematical optimization

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