Sine–Cosine-Barnacles Algorithm Optimizer with disruption operator for global optimization and automatic data clustering

作者：

Highlights：

• Developed an improved Sine–Cosine-Barnacles Algorithm Optimizer.

• Evaluate the proposed method against benchmark functions and data clustering problems.

• Compared the proposed method to other well-known methods.

• Demonstrated effectiveness and superiority of the proposed method.

摘要

•Developed an improved Sine–Cosine-Barnacles Algorithm Optimizer.•Evaluate the proposed method against benchmark functions and data clustering problems.•Compared the proposed method to other well-known methods.•Demonstrated effectiveness and superiority of the proposed method.

论文关键词：Optimization techniques,Swarm-intelligence,Sine–Cosine Algorithm,Barnacles mating optimizer,Exploration and exploitation

论文评审过程：Received 9 November 2021, Revised 24 April 2022, Accepted 26 June 2022, Available online 1 July 2022, Version of Record 6 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117993