%0 Journal Article %A LI Xiangzhe %A GU Lei %A MA Li %A WANG Mengjie %T Chaotic Tunicate Swarm Algorithm Based on Cosine Adaptive %D 2023 %R 10.3778/j.issn.1002-8331.2108-0237 %J Computer Engineering and Applications %P 65-75 %V 59 %N 2 %X Aiming at the shortcoming of tunicate swarm algorithm, such as easy to fall into local optimum and slow convergence speed, a chaotic tunicate swarm algorithm based on cosine adaptive is proposed in this paper. In the simulation of the capsule jet propulsion behavior, the cosine adaptive curve is introduced to calculate the social forces between individuals, so that the improved algorithm is prone to prematurity. In addition, a chaotic behavior is added when the search individual moves to the optimal position, which makes the search individual avoid local optimum and has faster convergence speed. Finally, a variety of standard test functions are used to test, and the experimental results show that the new encapsulated swarm optimization algorithm proposed in this paper has better convergence speed, precision and global optimality while retaining the advantages of the original algorithm. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2108-0237