Sine-cosine crow search algorithm: theory and applications

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.