自适应可调节边界的蚁狮优化算法  

Adaptive Ant-Lion Optimization Algorithm with Adjustable Boundaries

作　　者：郭家虎[1] 时曼玉 GUO Jiahu;SHI Manyu(School of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan Anhui 232001,China)

机构地区：[1]安徽理工大学电气与信息工程学院,安徽淮南232001

出　　处：《安徽理工大学学报（自然科学版）》2023年第4期1-9,18,共10页Journal of Anhui University of Science and Technology:Natural Science

基　　金：电力传输与功率变换控制教育部重点实验室开放课题资助(2020AC01);国网安徽电力有限公司科技项目(SGAHJY00GHJS2200069)。

摘　　要：针对蚁狮算法存在的收敛速度较慢、寻优精度较低和无法很好地摆脱局部最优解等缺陷,提出一种自适应可调节边界的蚁狮优化算法(ABALO)。首先,利用Bernouilli shift混沌映射初始化种群,增强种群的多样性与稳定性;其次,引入比例参数改进蚁狮为捕获蚂蚁而设置的陷阱大小收缩规律,提升算法的收敛速度;再次,引入莱维飞行策略,对位置更新进行变异操作,并采用贪心思想,仅保留位置变动后适应度有改进的解,帮助算法摆脱局部最优解;最后,利用动态系数改变位置更新的权重,促使算法前期着重探索局部最优解,后期重点挖掘全局最优解,进而提升算法的寻优精度。经9个基准测试函数仿真测试验证,提出的ABALO算法在收敛速度和寻优精度均有较明显的提升,寻优性能良好。Aiming at the shortcomings of the Ant-Lion algorithm such as slow convergence speed,low optimization accuracy and inability to get rid of the local optimal solution,an adaptive Ant-Lion optimization algorithm with adjustable boundaries(ABALO) was proposed.Firstly,Bernouilli shift chaos mapping was used to initialize the population to enhance the diversity and stability of the population.The proportional parameter was introduced to improve the trap size shrinkage law set by ant lions to capture ants and the convergence speed of the algorithm.The Lévy flight strategy was introduced to perform mutation operations on position updates,and the greedy thinking was adopted to retain only the solution with the improved adaptability after position change to help the algorithm get rid of the local optimal solution.The dynamic coefficient was used to change the weight of position update,so that the algorithm focused on exploring the local optimal solution in the early stage and mining the global optimal solution in the later stage,so as to improve the optimization accuracy of the algorithm.Verified by the simulation test of 9 benchmark test functions,it showed that the proposed ABALO algorithm had significantly improved the convergence speed and optimization accuracy,and the optimization performance was good.

关 键 词：Bernouilli shift混沌映射 动态比例系数 莱维飞行 贪心思想 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]