@inproceedings{4b4904ad99a346f0a076f19ebcb9098b,
title = "Clustering of moving vectors for evolutionary computation",
abstract = "We propose a method for clustering moving vectors oriented around two different local optima and some methods for improving the clustering performance. Evolutionary computation is an optimization method for finding the global optimum iteratively using multiple individuals; we propose a method for estimating the global optimum mathematically using the moving vectors between parent individuals and their offspring. Our proposed clustering method is the first to tackle the extension of the estimation method to multi-modal optimization. We describe the algorithm of the clustering method, the improvements made to the method, and the estimation performance for two local optima.",
author = "Jun Yu and Hideyuki Takagi",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 ; Conference date: 13-11-2015 Through 15-11-2015",
year = "2016",
month = jun,
day = "15",
doi = "10.1109/SOCPAR.2015.7492802",
language = "English",
series = "Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "169--174",
editor = "Mario Koppen and Muda, {Azah Kamilah} and Kun Ma and Bing Xue and Hideyuki Takagi and Ajith Abraham",
booktitle = "Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015",
address = "United States",
}