计算机技术与发展2024，Vol.34Issue(4)：180-186,7.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0027
基于混沌精英和Lévy飞行策略的鲸鱼优化算法
Whale Optimization Algorithm Based on Chaotic Elite and Lévy Flight Strategy
摘要
Abstract
For the problems of slow convergence and low accuracy of Whale Optimization Algorithm(WO A),the WO A based on Tent chaotic Elite and Lévy flight strategy(TELWOA)is proposed.The whale population is initialized by Tent chaotic mapping to maintain the population diversity,and the algorithm convergence speed is accelerated by introducing an elite opposition-based learning strategy to generate the inverse solution for the elite individuals of the initial population and select the population with high adaptation as the next generation whale population.Secondly,by using a nonlinear convergence factor,the imbalance between the algorithm's global search and local search ability is alleviated.Finally,the Lévy flight strategy is used in the whale location search process to avoid the algorithm from falling into local optimum and to improve the global search ability of the algorithm.By analyzing the effectiveness of different improvement strategies and comparing with other intelligent algorithms,it is proved that TELWOA has significant improvement in convergence accuracy,algorithmic stability and global optimization searching ability with comparison algorithms,and it has certain practical engineering application ability.关键词
鲸鱼优化算法/Tent混沌映射/反向学习策略/非线性收敛因子/Lévy飞行策略Key words
whale optimization algorithm/Tent chaotic mapping/opposition-based learning/nonlinear convergence factor/Lévy flight strategy分类
信息技术与安全科学引用本文复制引用
夏超,欧阳平,李明,屈盈飞,郭玮峰..基于混沌精英和Lévy飞行策略的鲸鱼优化算法[J].计算机技术与发展,2024,34(4):180-186,7.基金项目
重庆市教委重大科技项目(KJZD-M202200801) （KJZD-M202200801）
重庆市教委科技项目(KJQN202200828) （KJQN202200828）
重庆市研究生创新科研项目(yjscxx2023-211-120) （yjscxx2023-211-120）
