@inproceedings{38db40a4f1c34b49b889a84d4c3407b5,
title = "Convergence analysis of brain storm optimization algorithm",
abstract = "Brain storm optimization (BSO) algorithm is a new kind of swarm intelligence algorithm, which is inspired by collective behavior of human beings. In this paper, a Markov model for brain storm optimization algorithm is derived. The model gives the theoretical probability of the occurrence of each possible population as the number of generation count goes to infinity. Using the Markov model, the convergence of the brain storm optimization is analyzed.",
keywords = "Brain storm optimization, Convergence analysis, Markov chain, Style",
author = "Ziwei Zhou and Haibin Duan and Yuhui Shi",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Congress on Evolutionary Computation, CEC 2016 ; Conference date: 24-07-2016 Through 29-07-2016",
year = "2016",
month = nov,
day = "14",
doi = "10.1109/CEC.2016.7744264",
language = "英语",
series = "2016 IEEE Congress on Evolutionary Computation, CEC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3747--3752",
booktitle = "2016 IEEE Congress on Evolutionary Computation, CEC 2016",
address = "美国",
}