[1] |
QIU H X, WEI C, DOU R, et al. Fully autonomous flying: From collective motion in bird flocks to unmanned aerial vehicle autonomous swarms[J]. Science China Information Sciences, 2015,58(12):1-3.
|
[2] |
刘惟恒,罗阳,于均杰,等. 新概念多无人机协同探潜技术发展趋势分析[J]. 无人系统技术, 2020,3(2):9-13.
|
[3] |
张旭,贾磊磊,陈群. 关于多机器人围捕协调路径策略研究[J]. 计算机仿真, 2016,33(6):357-361.
|
[4] |
张子迎,吕骏,徐东,等. 能量均衡的围捕任务分配方法[J]. 国防科技大学学报, 2019,41(2):107-114.
|
[5] |
郑延斌,樊文鑫,韩梦云,等. 基于博弈论及Q学习的多Agent协作追捕算法[J]. 计算机应用, 2020,40(6):1613-1620.
|
[6] |
ISHIWAKA Y, SATO T, KAKAZU Y. An approach to the pursuit problem on a heterogeneous multiagent system using reinforcement learning[J]. Robotics & Autonomous Systems, 2003,43(4):245-256.
|
[7] |
DUTTA K. Hunting in groups[J]. Resonance, 2014,19(10)〖KG-*5〗:936-957.
|
[8] |
UEHARA S, TAKIMOTO M, KAMBAYASHI Y. Mobile agent based obstacle avoidance in multi-robot hunting[M]// Intelligent and Evolutionary Systems. Springer, 2017:443-445.
|
[9] |
付光远,李源. 多移动机器人动态联盟围捕策略[J]. 计算机应用, 2019,39(S1):1-7.
|
[10] |
陈志鹏,李健. 基于动物集群行为的无人机群目标围捕策略[J]. 现代计算机(专业版), 2018(6):11-14.
|
[11] |
肖支才,尹高扬,闫实. 基于循环寻优RRT算法的无人机航迹规划[J]. 计算机与现代化, 2020(2):16-20.
|
[12] |
李淑霞,杨俊成. 一种改进的全覆盖路径规划算法[J]. 计算机与现代化, 2021(2):100-103.
|
[13] |
张高林,张继宇,周萌. 未知环境中基于量子蚁群优化的移动机器人实时路径规划[J]. 计算机与现代化, 2018(7):49-52.
|
[14] |
游航航,余敏建,吕艳,等. 基于改进灰狼算法优化的UKF在空战轨迹预测中的应用[J]. 战术导弹技术, 2020(1):91-98.
|
[15] |
张志远,倪国新,徐艳国. 轨迹预测技术的现状及发展综述[J]. 电子测量技术, 2020,43(13):111-116.
|
[16] |
李瑞珍,杨惠珍,萧丛杉. 基于动态围捕点的多机器人协同策略[J]. 控制工程, 2019,26(3):510-514.
|
[17] |
贾高伟,王建峰. 无人机集群任务规划方法研究综述[J]. 系统工程与电子技术, 2021,43(1):99-111.
|
[18] |
FAN Z Q, LI S S, GAO Z J, et al. Multiobjective sustainable order allocation problem optimization with improved genetic algorithm using priority encoding[J]. Mathematical Problems in Engineering, 2019.DOI:10.1155/2019/8218709.
|
[19] |
袁姝,周朝荣,杨正清,等. 群智感知系统中基于鲸鱼优化算法的任务分配[J]. 计算机工程与设计, 2020,41(7):2031-2037.
|
[20] |
MIRJALILI S, LEWIS A. The whale optimization algorithm[J]. Advances in Engineering Software, 2016(1):51-67.
|
[21] |
ZENG N Y, SONG D D, LI H, et al. A Competitive mechanism integrated multi-objective whale optimization algorithm with differential evolution[J]. Neurocomputing, 2021,432:170-182.
|
[22] |
REDDY A K V K, NARAYANA K V L. A combinatorial social group whale optimization algorithm for numerical and engineering optimization problems[J]. Applied Soft Computing, 2020,99:106903.
|
[23] |
刘紫娟,田文艳. 鲸鱼算法的优化[J]. 物联网技术, 2021,11(1):42-46.
|