Single Seekers Society (SSS): Bringing together heuristic optimization algorithms for solving complex problems
作者：
Highlights：
• A novel metaheuristic algorithm brings together several single-solution based heuristics for global optimization.
• High converging capability.
• Extensive computational study is presented for solving many test problems with success.
摘要
•A novel metaheuristic algorithm brings together several single-solution based heuristics for global optimization.•High converging capability.•Extensive computational study is presented for solving many test problems with success.
论文关键词：Algorithmic design,Single seekers,Synergistic phenomena,Information sharing,Functional optimization
论文评审过程：Received 15 February 2018, Revised 12 November 2018, Accepted 13 November 2018, Available online 23 November 2018, Version of Record 7 January 2019.
论文官网地址：https://doi.org/10.1016/j.knosys.2018.11.016
