群智能优化算法最新进展OA北大核心CSTPCD

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.