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- Title
Analysis of bat algorithm's global convergence.
- Authors
SHENG Meng-long; HE Xing-shi; DING Wen-jing
- Abstract
In order to study the convergence of the bat algorithm, based on the global convergence criteria of random optimal algorithm, the convergence of the bat algorithm is analyzed to prove that the bat algorithm does not fully meet the two global optimization algorithm convergence criteria. And through the simulation experiments, the result shows that the bat algorithm cannot ensure global convergence, so it belongs to the local search optimization algorithm.
- Subjects
STOCHASTIC convergence; MATHEMATICAL optimization; RANDOM operators; RANDOM sets; MATHEMATICAL statistics
- Publication
Basic Sciences Journal of Textile Universities / Fangzhi Gaoxiao Jichu Kexue Xuebao, 2013, Vol 26, Issue 4, p543
- ISSN
1006-8341
- Publication type
Article