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共生生物搜索算法研究综述

李立欣 蔡延光

自动化与信息工程2025,Vol.46Issue(1):1-13,13.
自动化与信息工程2025,Vol.46Issue(1):1-13,13.DOI:10.3969/j.issn.1674-2605.2025.01.001

共生生物搜索算法研究综述

A Review of Symbiotic Organisms Search Algorithm Research

李立欣 1蔡延光2

作者信息

  • 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||广东工业大学自动化学院,广东 广州 510006
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摘要

Abstract

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

Key words

symbiotic organisms search algorithm/intelligent algorithm/global optimization problem

分类

计算机与自动化

引用本文复制引用

李立欣,蔡延光..共生生物搜索算法研究综述[J].自动化与信息工程,2025,46(1):1-13,13.

基金项目

广东省科技计划项目(2016A050502060,2020B1010010005) (2016A050502060,2020B1010010005)

广州市科技计划项目(202206010011,2023B03J1339). (202206010011,2023B03J1339)

自动化与信息工程

1674-2605

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