PDF下载 分享
[1]陈 涛,等. 基于改进MOGOA 的无人机群航迹规划研究[J].天津大学学报(自然科学与工程技术版),2020,53(09):967-975.[doi:10.11784/tdxbz201908004]
 Chen Tao,Li Youzhi,et al. UAVs Path Planning Based on Improved Multi-Objective Grasshopper Optimization Algorithm[J].Journal of Tianjin University(Science and Technology),2020,53(09):967-975.[doi:10.11784/tdxbz201908004]
点击复制

 基于改进MOGOA 的无人机群航迹规划研究

参考文献/References:

 

[1] 周德云,王鹏飞,李枭扬,等. 基于多目标优化算法的多无人机协同航迹规划[J]. 系统工程与电子技术,2017,39(4):782-787.

Zhou Deyun,Wang Pengfei,Li Xiaoyang,et al. Cooperative path planning of multi-UAV based on multi-objective optimization algorithm[J]. Systems Engi-neering and Electronics,2017,39(4):782-787(in Chinese).

[2] 赵克新,黄长强,王?渊,等. 基于混沌蚁狮算法的无人机航迹规划[J]. 飞行力学,2018,36(1):93-96.

Zhao Kexin,Huang Changqiang,Wang Yuan,et al. UAV path planning based on chaos ant lion algorithm[J]. Flight Dynamics,2018,36(1):93-96(in Chinese).

[3] 曲长文,王昌海,冯?奇,等. 时差无源定位系统多机编队动态布站优化[J]. 舰船电子工程,2017,37(3):38-43.

Qu Changwen,Wang Changhai,Feng Qi,et al. Dynamic deployment optimization of multi-flight formation based on TDOA[J]. Ship Electronic Engineering,2017,37(3):38-43(in Chinese).

[4] Dogancay K. UAV path planning for passive emitter localization[J]. IEEE Transactions on Aerospace and Electronic Systems,2012,48(2):1150-1166.

[5] Dogancay K,Hmam H. On optimal sensor placement for time-difference of arrival localization utilizing uncer-tainty minimization[C]// 17th European Signal Process-

ing Conference. Glasgow,Scotland,2009:1136-1140.

[6] Yan Qingli,Chen Jianfeng. Node placement optimization for distributed sensor network using adaptive genetic algorithm[C]// IEEE International Conference on Signal Processing Communications and Computing(ICSPCC). Hong Kong,China,2016:1-4.

[7] Saremi S,Mirjalili S,Lewis A. Grasshopper optimization algorithm:Theory and application[J]. Advances in Engineering Software,2017,105(1):30-47.

[8] Mirjalili S Z,Mirjalili S,Saremi S,et al. Grasshopper optimization algorithm for multi-objective optimization problems[J]. Applied Intelligence,2017,48(8):805-820.

[9] Liu Jinglu,Wang Anna,Qu Yanhua,et al. Coordinated operation of multi-integrated energy system based on linear weighted sum and grasshopper optimization algorithm[J]. IEEE Access,2018,6:42186-42195.

[10] Jeddisaravi K,Alitappeh R J,Guimaraes F G. Multi-objective mobile robot path planning based on A* search[C]//6th International Conference on Computer and Knowledge Engineering(ICCKE). Mashhad,Iran,2016:7-12.

[11] Yao Peng,Wang Honglun,Su Zikang. Real-time path planning of unmanned aerial vehicle for target tracking and obstacle avoidance in complex dynamic environment [J]. Aerospace Science and Technology,2015,47(10):269-279.

[12] Tharwat A,Houssein E H,Ahmed M M,et al. MOGOA algorithm for constrained and unconstrained multi-objective optimization problems[J]. Applied Intelligence,2018,48(8):2268-2283.

[13] Cui Laizhong,Li Genghui,Zhu Zexuan,et al. A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization[J]. Information Sciences,2017,414(5):53-67.

相似文献/References:

[1]徐可欣,崔厚欣,王文波. 血糖无创伤检测技术的基础研究[J].天津大学学报(自然科学与工程技术版),2003,(02):133.
[2]李庆波,徐可欣,汪!日燕. 人体血糖浓度无创伤检测的必要测量条件[J].天津大学学报(自然科学与工程技术版),2003,(02):139.
[3]胡小唐,陈津平,胡晓东,等. 外界振动对SPM测量结果的影响[J].天津大学学报(自然科学与工程技术版),2003,(02):143.
[4]赵 臣,阴炳皓,韩晓军.TSR-1型微型足球机器人视觉系统的研究[J].天津大学学报(自然科学与工程技术版),2003,(06):659.
[5]刘!征,赵小松,张国雄,等. 自由曲面多目视觉检测技术[J].天津大学学报(自然科学与工程技术版),2003,(02):148.
[6]张金利,杨雪松,李!韦华,等. 非离子型表面活性剂水溶液胶团特性模型[J].天津大学学报(自然科学与工程技术版),2003,(02):152.
[7]王洪礼,李强,竺致文. 梯度算法在转子时变控制中的应用[J].天津大学学报(自然科学与工程技术版),2003,(02):156.
[8]张颖,顾平,谭丁. 膜混凝反应器处理轻度污染地表水[J].天津大学学报(自然科学与工程技术版),2003,(02):187.
[9]杨长生,马沛生,夏淑倩. 差热分析法测定多元醇的比热[J].天津大学学报(自然科学与工程技术版),2003,(02):192.
[10]于九皋,刘峰,于璟琳. 包覆包醛氧淀粉固定脲酶制备及对尿素吸附[J].天津大学学报(自然科学与工程技术版),2003,(02):197.

备注/Memo

通信作者:陈 涛,chentao@ hrbeu.edu.cn.

更新日期/Last Update: 2020-08-30