计算机工程与应用2024，Vol.60Issue(19)：46-67,22.DOI:10.3778/j.issn.1002-8331.2403-0328
群智能优化算法最新进展
Recent Progress of Swarm Intelligent Optimization Algorithms
摘要
Abstract
Swarm intelligent optimization algorithm is a kind of optimization algorithm that simulates the behavior char-acteristics of biological groups in nature.It has the advantages of strong global searching ability,strong adaptability,strong parallelism,and easy implementation.Swarm intelligent optimization algorithm is a bio-inspired algorithm,which faces the challenges of convergence speed,parameter sensitivity,and robustness when solving complex optimization prob-lems.In recent years,in the field of swarm intelligence optimization algorithms,researchers have proposed a series of new swarm intelligence optimization algorithms.The newly proposed six-swarm intelligent optimization algorithms and its variant models and applications are reviewed,and experiments are carried out on CEC2020 test function.The conver-gence accuracy and stability of these six swarm intelligent optimization algorithms are evaluated comprehensively,and the future development trend of swarm intelligent optimization algorithms is briefly described.关键词
群智能优化算法/生物启发式算法/收敛精度/稳定性Key words
swarm intelligent optimization algorithm/bio-inspired algorithm/convergence accuracy/stability分类
信息技术与安全科学引用本文复制引用
陈丽芳,曹柯欣,张思鹏,白浩然,韩阳,代琪..群智能优化算法最新进展[J].计算机工程与应用,2024,60(19):46-67,22.基金项目
国家自然科学基金面上项目(52074126). （52074126）
