Sine-cosine algorithm for solving single objective optimization problems. SCA creates multiple initial random candidate solutions and requires them to use mathematical models based on sinusoidal and cosine functions to fluctuate outward or towards the best solution. Several random and adaptive variables are also integrated into the algorithm to emphasize exploring and utilizing search space in different optimization milestones. Compression packages include: published papers, optimization algorithm code, optimization toolbox.

Filename	Size	Update
SCA：用于解决优化问题的正弦余弦算法	0	2019-03-27
SCA：用于解决优化问题的正弦余弦算法\SCA Toolbox（正弦余弦算法）.zip	95585	2019-03-27
SCA：用于解决优化问题的正弦余弦算法\SCA（正弦余弦算法）.zip	186133	2019-03-27
SCA：用于解决优化问题的正弦余弦算法\SCA：用于解决优化问题的正弦余弦算法.pdf	3474809	2019-03-27

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