计算机工程与科学2023，Vol.45Issue(12)：2216-2225,10.DOI:10.3969/j.issn.1007-130X.2023.12.013
一种多策略融合的人工蜂鸟算法
A multi-strategy fusion artificial hummingbird algorithm
摘要
Abstract
In order to improve the convergence speed and solution accuracy of the basic artificial hum-mingbird algorithm,a multi-strategy fusion artificial hummingbird algorithm is proposed.Firstly,the hummingbird position is initialized by the chaotic reverse communication strategy to improve the diversi-ty of the initial population.Secondly,to coordinate global exploration and local search,the probability dynamic adjustment function is designed to control the guided foraging and regional foraging behaviors of hummingbirds,and the adaptive spiral is introduced to improve the migration foraging behavior.Fi-nally,the location of the optimal hummingbird is disturbed by the Cauchy Gaussian mutation strategy to improve the algorithm's ability to jump out of the local optimum.Finally,9 benchmark functions are chosen to evaluate the proposed algorithm in simulation experiments,which are compared with the other five latest optimization algorithms.Simulation results show that the proposed algorithm has a faster convergence speed,higher accuracy,and stronger stability.关键词
人工蜂鸟算法/初始化种群/自适应调节/螺旋搜索/扰动变异Key words
artificial hummingbird algorithm/initialization population/adaptive adjustment/spiral search/disturbance mutation分类
信息技术与安全科学引用本文复制引用
刘琰,张姣,姜胜腾,潘筱茜,赵海涛,魏急波..一种多策略融合的人工蜂鸟算法[J].计算机工程与科学,2023,45(12):2216-2225,10.基金项目
国家自然科学基金(61931020,62001483) （61931020,62001483）
