@inproceedings{edffed26914940e784e46f5a5406a401,
title = "A mean shift assisted differential evolution algorithm",
abstract = "It is well known that Differential Evolution (DE) algorithm has been widely applied to solve global optimization problems during the last decades. DE is usually criticized for the slow convergence. To improve the algorithm performance, we propose an algorithm called MSDE that utilizes a local search operator based on mean shift. In MSDE, one offspring solution is generated by the mean shift based search operator, and the others are created by the DE search operator. A test suite of 12 benchmark functions with different characteristics are chosen to evaluate our approach. The experimental results suggest that MSDE can successfully improve the performance of DE and have a faster convergence rate on the given test suite.",
keywords = "Differential evolution, Global optimization, Mean shift, Search operator",
author = "Hui Fang and Aimin Zhou and Guixu Zhang",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2016.; 11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016 ; Conference date: 28-10-2016 Through 30-10-2016",
year = "2016",
doi = "10.1007/978-981-10-3614-9\_21",
language = "英语",
isbn = "9789811036132",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "163--172",
editor = "Linqiang Pan and Maoguo Gong and Tao Song and Gexiang Zhang and Tao Song",
booktitle = "Bio-inspired Computing – Theories and Applications - 11th International Conference, BIC-TA 2016, Revised Selected Papers",
address = "德国",
}