@inproceedings{35904bee069c4391acdd9e01469ff0b7,
title = "Exploitation Enhanced Sine Cosine Algorithm with Compromised Population Diversity for Optimization",
abstract = "The sine cosine algorithm is a newly proposed optimization algorithm and it has shown remarkable performance in solving some optimization problems. However, its search ability deteriorates when facing complex problems because of premature convergence. To mitigate this drawback, we propose a population diversity based local refinement strategy to help it maintain population diversity in a high level. Twenty-nine test functions in CEC'17 benchmark suit is implemented to evaluate its performance. The experimental results indicate the flexibility of controlling diversity and the proposed strategy is promising to be applied to other algorithms.",
keywords = "computational intelligence, hybridization, optimization, population diversity, sine cosine algorithm",
author = "Zhongguo Zhang and Yang Yu and Shuxin Zheng and Yuki Todo and Shangce Gao",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th IEEE International Conference on Progress in Informatics and Computing, PIC 2018 ; Conference date: 14-12-2018 Through 16-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/PIC.2018.8706301",
language = "英語",
series = "Proceedings of the 2018 IEEE International Conference on Progress in Informatics and Computing, PIC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "122--128",
booktitle = "Proceedings of the 2018 IEEE International Conference on Progress in Informatics and Computing, PIC 2018",
}