共生生物搜索算法研究综述  

A Review of Symbiotic Organisms Search Algorithm Research

作　　者：李立欣 蔡延光 LI Lixin;CAI Yanguang(Shantou Linbaixin Science and Technology Secondary Vocationl School,Shantou 515041,China;School of Intelligent Manufacturing and Electrical Engineering,Guangzhou Institute of Science and Technology,Guangzhou 510540,China;School of Automation,Guangdong University of Technology,Guangzhou 510006,China)

机构地区：[1]汕头市林百欣科学技术中等专业学校,广东汕头515041 [2]广州理工学院智能制造与电气工程学院,广东广州510540 [3]广东工业大学自动化学院,广东广州510006

出　　处：《自动化与信息工程》2025年第1期1-13,共13页Automation & Information Engineering

基　　金：广东省科技计划项目(2016A050502060,2020B1010010005);广州市科技计划项目(202206010011,2023B03J1339)。

摘　　要：共生生物搜索(SOS)算法是一种通过模拟自然界生态系统中生物之间的共生交互作用来求解全局优化问题的新型智能算法,具有结构简单、寻优能力强、鲁棒性好、无需调整参数等特点,可有效解决多种优化问题。该文针对一维和多维优化问题分别给出SOS算法的结构化表达形式;并从改进方法和应用角度全面总结其最新研究进展,进而提出研究展望,为SOS算法的研究和应用提供参考。The symbiotic organisms search(SOS)algorithm is a novel intelligent algorithm that solves global optimization problems by simulating the symbiotic interactions between organisms in natural ecosystems.It has the characteristics of simple structure,strong optimization ability,good robustness,and no need to adjust parameters,and can effectively solve various optimization problems.This article provides structured expressions of the SOS algorithm for one-dimensional and multi-dimensional optimization problems,and comprehensively summarize its latest research progress from the perspectives of improvement methods and applications,and then propose research prospects,providing reference for the research and application of SOS algorithm.

关 键 词：共生生物搜索算法 智能算法 全局优化问题 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP301.6[自动化与计算机技术—控制科学与工程]