用于求解单目标优化问题的正弦余弦算法。
SCA创建多个初始随机候选解决方案，并要求它们使用基于正弦和余弦函数的数学模型向外波动或朝向最佳解决方案。几个随机和自适应变量也被集成到该算法中，以强调在不同的优化里程碑中探索和利用搜索空间。
压缩包包括：发表的论文、优化算法代码、优化工具箱。(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.)