@inproceedings{20ca526b76ad4c619f32cf3bc8914186,
title = "A Novel Brain Storm Optimization Algorithm Driven by Sine-Cosine Search Mechanism",
abstract = "In this paper, a hybrid approach which combines brain storm optimization algorithm (BSO) with sine-cosine search mechanism is proposed. BSO is a newly proposed meta-heuristic algorithm which takes inspiration from the brainstorming behavior. It can obtain good results in solving some optimization problems. However, its performance is still raw, especially in dealing with complex and multi-modal problems. Thus, in this paper, we introduce a powerful search mechanism taken from sine cosine algorithm (SCA) which has considerable capacity to enhance the search ability of BSO. The proposed algorithm is tested by CEC'17 benchmark functions and the result indicates that this hybridization has considerable merit.",
keywords = "Benchmark function, Hybrid algorithm, Optimization algorithm, Swarm intelligence",
author = "Qianqian Li and Yang Yu and Ziqian Wang and Yiki Todo and Shangce Gao",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 12th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2020 ; Conference date: 22-08-2020 Through 23-08-2020",
year = "2020",
month = aug,
doi = "10.1109/IHMSC49165.2020.00009",
language = "英語",
series = "Proceedings - 2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3--8",
booktitle = "Proceedings - 2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2020",
}