广西科学2025，Vol.32Issue(1)：106-120,15.DOI:10.13656/j.cnki.gxkx.20241106.001
融合疯狂秃鹰搜索的混沌正余弦算法
A Chaotic Sine Cosine Algorithm Based on Crazy Bald-Eagle Search
摘要
Abstract
Aiming at the slow convergence and low computational accuracy of the Sine Cosine Algorithm(SCA)in optimization problems,a Chaotic Sine Cosine Algorithm based on Crazy Bald-eagle Search(CSCA-CBS)is proposed.CSCA-CBS employs Logistic-Tent chaotic mapping for population initialization,thereby obtaining a more uniform and diverse initial population.Inspired by the bald-eagle search algorithm,CSCA-CBS adopts a bald-eagle search strategy with a crazy operator to enhance its global exploration capability.To avoid falling into local optima during later iterations,CSCA-CBS utilizes a dimension-by-dimension reverse Cauchy mutation strategy to systematically perturb the population,effectively integrating the advantages of opposition-based learning and Cauchy mutation.Simulation experiments with 15 benchmark functions show that the CSCA-CBS can outperform state-of-the-art SCA variants and four non-SCA in terms of computation-al cost and reliability,solution quality analysis,and convergence performance.Additionally,parameter inver-sion experiments on soil moisture characteristic curves further validate the excellent practicality and effective-ness of CSCA-CBS.关键词
正余弦算法/Logistic-Tent混沌映射/秃鹰搜索算法/疯狂算子/参数反演Key words
sine cosine algorithm/Logistic-Tent chaotic mapping/bald-eagle search algorithm/crazy operator/parameter inversion分类
信息技术与安全科学引用本文复制引用
周甜,麦雄发,刘利斌,郑贵林..融合疯狂秃鹰搜索的混沌正余弦算法[J].广西科学,2025,32(1):106-120,15.基金项目
国家自然科学基金项目(12361087),广西科技计划项目(桂科AD23023003)和广西研究生教育创新计划项目(JGY2024267)资助. （12361087）
