关键词: 乌鸦搜索算法, 正弦余弦算法, 多模态函数

Abstract: Crow search algorithm is developed from imitating foraging behaviors of crows. In order to reduce the blindness of updating strategy, a crow search algorithm based on sine and cosine algorithm is proposed, which means designing sine and cosine algorithm as a local optimization operator to optimize the crow agent. The improved algorithm makes each crow agent fully absorbing the position difference information between itself and the best agent, effectively guiding the crows to approach the optimal value along the optimal direction, and improves the convergence and accuracy of the optimization. A series of standard functions are tested and the experimental results show that SCA-CSA has a better performance.

Key words: crow search algorithm, sine cosine algorithm, multimodal function