摘要
非洲秃鹫算法(African vultures optimization algorithm,AVOA)是模拟秃鹫在自然界中觅食和导航行为提出的一种进化算法。虽然AVOA具有高效的探索能力,但也存在易陷入局部最优及收敛精度不高等缺点。为了克服这些缺点,本文提出一种动态二次插值与视觉定向旋转的非洲秃鹫算法——AVOADV。动态二次插值策略能够提高算法的收敛速度和精度,视觉定向旋转策略能够更广泛地探索解空间,增加解的多样性,不易陷入局部最优。将AVOADV算法与其他四种对比算法在CEC2022测试集上的5个测试函数上进行仿真,实验结果和统计分析证实了AVOADV算法的有效性和竞争力。
The African vulture optimization algorithm is an evolutionary algorithm proposed to simulate the foraging and navigation behavior of vultures in nature.Although AVOA has efficient exploration ability,it is easy to fall into local optimal and the convergence accuracy is not high.To overcome these shortcomings,AVOADV,an African vulture algorithm based on dynamic quadratic interpolation and visual orientation rotation,is proposed.The dynamic quadratic interpolation strategy can effectively improve the convergence speed and accuracy of the algorithm,and the visual orientation rotation strategy can explore the solution space more widely,increase the diversity of solutions,and not easily fall into the local optimal.Simulation experiments of AVOADV algorithm and other four comparison algorithms are carried out on 5 test functions on CEC2022 test set.The experimental results and statistical analysis confirm the effectiveness and competitiveness of AVOADV algorithm.
作者
赵雨微
刘昊
李聪
ZHAO Yuwei;LIU Hao;LI Cong(School of Science,University of Science and Technology Liaoning,Anshan 114051,China)
出处
《辽宁科技大学学报》
2024年第6期472-480,共9页
Journal of University of Science and Technology Liaoning
基金
国家自然科学基金资助项目(U1731128)
辽宁省教育厅项目(LJKZ0279)。
关键词
非洲秃鹫算法
动态二次插值
视觉定向旋转
智能优化算法
African vulture optimization algorithm
visual directional rotation
dynamic quadratic interpolation
intelligent optimization algorithm
作者简介
赵雨微(2000-),女,辽宁锦州人。研究方向:进化计算、群智能;通讯作者:刘昊(1980-),男,四川资中人,教授。研究方向:进化计算、群智能、人工智能及几何控制。
