Journal
NEURAL COMPUTING & APPLICATIONS
Volume 32, Issue 12, Pages 7725-7742Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s00521-019-04530-0
Keywords
Sine-cosine crow search algorithm; Global optimization; Crow search algorithm; Sine-cosine algorithm
Categories
Ask authors/readers for more resources
In this paper, we propose a new hybrid algorithm called sine-cosine crow search algorithm that inherits advantages of two recently developed algorithms, including crow search algorithm (CSA) and sine-cosine algorithm (SCA). The exploration and exploitation capabilities of the proposed algorithm have significantly improved. Performance of the so-called SCCSA was evaluated in unimodal, multimodal, fixed-dimensional multimodal and composite benchmark functions using robust measures. Based on in-depth analyses and statistical information, we showed that the suggested methodology could provide promising solutions comparing to other state-of-the-art algorithms.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available