Multi-core sine cosine optimization: Methods and inclusive analysis
作者：
Highlights：
• A multi-strategy boosted Sine Cosine Algorithm named SGLSCA is proposed.
• Salp Swarm Algorithm and Grey Wolf Optimizer are introduced into the basic SCA.
• Levy flight strategy is also embedded into SCA.
• The superior performance of SGLSCA is confirmed over various advanced algorithms.
• SGLSCA is tested over benchmark functions and engineering optimization.
摘要
•A multi-strategy boosted Sine Cosine Algorithm named SGLSCA is proposed.•Salp Swarm Algorithm and Grey Wolf Optimizer are introduced into the basic SCA.•Levy flight strategy is also embedded into SCA.•The superior performance of SGLSCA is confirmed over various advanced algorithms.•SGLSCA is tested over benchmark functions and engineering optimization.
论文关键词：Sine cosine algorithm,Salp swarm algorithm,Grey wolf optimizer,Levy flight strategy,Global optimization
论文评审过程：Received 4 December 2019, Revised 4 August 2020, Accepted 3 September 2020, Available online 19 September 2020, Version of Record 5 November 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113974
