摘要
针对传统麻雀搜索算法(SSA)在飞行器航迹规划求解问题中计算过程复杂、易陷入局部解等不足,提出了一种融合鲸鱼搜索因子和柯西-高斯变异的麻雀搜索算法(WSSA)。首先借助佳点集法对种群进行了初始化处理;其次借助鲸鱼算法中螺旋式搜索因子形成自适应权重迭代因子,提高算法全局搜索能力的同时保证局部的收敛性;随后在跟随者位置更新中加入柯西-高斯变异因子对原迭代进行扰动更新,提高算法的全局寻优能力;最后基于改进前后的算法进行了模型求解和适应度比较,验证了所提算法的有效性。
In aireraft path planning,the traditional Sparrow Search Algorihm(SSA)has such shortcomings as complex calculation process and the tendency of alling into local solutions.To solve the problems,an SSA that combines Whale search factor with Cauchy-Gaussian variation,called WSSA,is proposed.Firstly,the population is initialized with the help of the best point set method.Secondly,the adaptive weight iteration factor is formed by using the spiral search factor in the whale algorithm,which improves the global search ability of the algorithm and ensures local convergence.Then,the Cauchy-Gaussian variant factor is added to the follower position update to perturb the original iteration to improve the global optimization ability of the algorithm.Finally,based on the comparison of model solving and fitness before and after improvement,the effctiveness of the improvement is verified.
作者
雷刚
李云舒
张宏强
罗炜
赖灿辉
LEI Gang;LI Yunshu;ZHANG Hongqiang;LUO Wei;LAI Canhui(Rocket Force University of Engineering,Xi'an 710000,China;A Military Representative Office of the Equipment Department of the Rocket Force,Wuhan 430000,China)
出处
《电光与控制》
CSCD
北大核心
2024年第3期41-47,共7页
Electronics Optics & Control
关键词
航迹规划
禁飞区规避
麻雀搜索算法
自适应权重迭代因子
path planning
no-fly zone avoidance
sparrow search algorithm
adaptive weight iteration factor
作者简介
雷刚(1978-),男,陕西西安人,博士,副教授,硕导;通讯作者:李云舒(1999-),男,甘肃庆阳人,硕士生。
