article · 2016
Firefly algorithm existing leader fireflies
Masaki Takeuchi, Haruna Matsushita, Yoko Uwate, Yoshifumi Nishio
Cited by 1Abstract and details only
Abstract
The community of human-beings, such as company and laboratory, is created as core on the leader of the community. In this study, we propose Firefly Algorithm existing leader fireflies. In our proposed FA, leader fireflies attract other fireflies within certain distance. We compare our proposed FA to the conventional FA with benchmark functions of CEC 2013. Numerical experiments indicate our proposed FA is more efficient algorithm than the conventional FA.
Cite this paper
Takeuchi, M., Matsushita, H., Uwate, Y., & Nishio, Y. (2016). Firefly algorithm existing leader fireflies. https://doi.org/10.1109/apccas.2016.7803962
Takeuchi, Masaki, et al. “Firefly algorithm existing leader fireflies.” 2016, https://doi.org/10.1109/apccas.2016.7803962.
Takeuchi, Masaki, Haruna Matsushita, Yoko Uwate, and Yoshifumi Nishio. 2016. “Firefly algorithm existing leader fireflies.” https://doi.org/10.1109/apccas.2016.7803962.
Takeuchi, M. et al. (2016) ‘Firefly algorithm existing leader fireflies’. Available at: https://doi.org/10.1109/apccas.2016.7803962.
@article{takeuchi2016firefly,
title = {{Firefly algorithm existing leader fireflies}},
author = {Takeuchi, Masaki and Matsushita, Haruna and Uwate, Yoko and Nishio, Yoshifumi},
year = {2016},
doi = {10.1109/apccas.2016.7803962}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.