other · SIA OpenIR (Chinese Academy of Sciences) · 2017

A hybrid firefly algorithm

Qi XB(亓祥波), Zhu, Sihan, Zhang H(张浩)

Cited by 0Abstract and details only

Abstract

Firefly Algorithm (FA) is a bio-inspired algorithm simulating the flashing behavior of fireflies. In original algorithm, all the fireflies are unisex and only the flashing behavior is simulated. This paper presents a novel hybrid firefly algorithm (HFA) adding mating behavior in original firefly algorithm. The new algorithm is compared with FA and other three well-known bio-inspired algorithms on fifteen benchmark functions. The experimental results show HFA has a good optimizing ability on most benchmark functions and is proved to have significant improvement over canonical FA and several other comparison algorithms.

Cite this paper

APA 7

XB(亓祥波), Q., Zhu, S., & H(张浩), Z. (2017). A hybrid firefly algorithm. SIA OpenIR (Chinese Academy of Sciences).

MLA 9

XB(亓祥波), Qi, et al. “A hybrid firefly algorithm.” SIA OpenIR (Chinese Academy of Sciences), 2017.

Chicago

XB(亓祥波), Qi, Sihan Zhu, and Zhang H(张浩). 2017. “A hybrid firefly algorithm.” SIA OpenIR (Chinese Academy of Sciences).

Harvard

XB(亓祥波), Q., Zhu, S. and H(张浩), Z. (2017) ‘A hybrid firefly algorithm’, SIA OpenIR (Chinese Academy of Sciences).

BibTeX

@misc{xb2017hybrid,
  title = {{A hybrid firefly algorithm}},
  author = {XB(亓祥波), Qi and Zhu, Sihan and H(张浩), Zhang},
  journal = {SIA OpenIR (Chinese Academy of Sciences)},
  year = {2017}
}

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