舰船电子工程2023，Vol.43Issue(11)：38-43,63,7.DOI:10.3969/j.issn.1672-9730.2023.11.008
融合改进灰狼算法及时间约束的航迹规划
Improved Grey Wolf Optimizer Based on Integration Strategy and Path Planning With Time Constraints
摘要
Abstract
For the path planning of fixed wing UAV with high real-time requirements,time cost is introduced into the optimi-zation model to fit the actual project,and an improved gray wolf optimizer integrating whale optimization algorithm is proposed to complete the optimization solution.On the premise of retaining the gray wolf hierarchy,a random mechanism about candidate wolves is added to improve the ability to jump out of the local optimum.The spiral updating mechanism is introduced while using weight fac-tors to control contraction and expansion.The randomness of the latter is weakened by establishing early warning probability related to the fitness ranking.Finally,the advantages of the improved algorithm in convergence accuracy and convergence speed are quanti-fied in the comparative simulation experiments of path planning in different dimensions.关键词
灰狼优化算法/航迹规划/时间约束Key words
grey wolf optimizer/path planning/time constraint分类
信息技术与安全科学引用本文复制引用
闫浩泉,杨柳庆,张勇..融合改进灰狼算法及时间约束的航迹规划[J].舰船电子工程,2023,43(11):38-43,63,7.基金项目
国家自然科学基金项目(编号:52272369)资助. （编号:52272369）
