Abstract: Firefly algorithm is a simple and efficient meta-heuristic optimization algorithm which has outstanding performance on many optimization problems. However, in the standard FA, the fireflies will be attracted by all the other bright fireflies, and there is a lot of attraction that does not affect, but will increase the computational time of the algorithm. In addition, all the best firefly information in the search process has not been recorded, which may lead the algorithm to be inefficient. To over these problems, this paper proposed en elite-k attraction firefly algorithm (EkFA), which can not only reduce the no effective attractions between the fireflies but also can make full use of the best firefly’s information to guide other nearby fireflies to movement. Thirteen well-known benchmark functions are used to verify the performance of our proposed method. The experimental results show that the accuracy and efficiency of the proposed algorithm are significantly better than those of other FA variants.
Publication Year: 2018
Publication Date: 2018-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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